7,549 AI Engineers jobs in the United States
ML/AI Engineers
94199 San Francisco, California
Adidev Technologies Inc
Posted 4 days ago
Job Viewed
Job Description
Role: ML/AI Engineers
(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)
Summary:
Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients.
About Adidev Technologies Inc.
Adidev Technologies,( is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.
Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.
Global Presence: Our diverse employee workforce spans four continents.
Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.
How We'll Guide You
Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.
Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.
Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.
Career Growth: We facilitate industry experience to propel your technical journey forward.
Key Responsibilities:
• Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
• Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
• Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
• Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
• Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
• Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
• Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
• Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
• Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.
What You'll Bring
Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI.
Software engineering and/or Data Engineering background, especially in one of the major clouds.
Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks
Experience putting ML/AI into production, and ability to talk through best practices and pitfalls.
How to Apply:
Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.
Perks and Beyond!
Competitive salary range: Based on experience and market value
Pack your bags! Paid relocation is on us.
Support, even from afar, with our remote assistance.
Regular salary reviews? You betcha!
Ready to Embark?
we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.
Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough.
(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)
Summary:
Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients.
About Adidev Technologies Inc.
Adidev Technologies,( is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.
Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.
Global Presence: Our diverse employee workforce spans four continents.
Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.
How We'll Guide You
Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.
Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.
Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.
Career Growth: We facilitate industry experience to propel your technical journey forward.
Key Responsibilities:
• Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
• Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
• Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
• Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
• Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
• Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
• Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
• Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
• Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.
What You'll Bring
Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI.
Software engineering and/or Data Engineering background, especially in one of the major clouds.
Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks
Experience putting ML/AI into production, and ability to talk through best practices and pitfalls.
How to Apply:
Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.
Perks and Beyond!
Competitive salary range: Based on experience and market value
Pack your bags! Paid relocation is on us.
Support, even from afar, with our remote assistance.
Regular salary reviews? You betcha!
Ready to Embark?
we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.
Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough.
View Now
0
ML/AI Engineers
94616 Oakland, California
Adidev Technologies Inc
Posted 4 days ago
Job Viewed
Job Description
Role: ML/AI Engineers
(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)
Summary:
Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients.
About Adidev Technologies Inc.
Adidev Technologies,( is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.
Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.
Global Presence: Our diverse employee workforce spans four continents.
Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.
How We'll Guide You
Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.
Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.
Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.
Career Growth: We facilitate industry experience to propel your technical journey forward.
Key Responsibilities:
• Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
• Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
• Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
• Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
• Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
• Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
• Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
• Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
• Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.
What You'll Bring
Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI.
Software engineering and/or Data Engineering background, especially in one of the major clouds.
Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks
Experience putting ML/AI into production, and ability to talk through best practices and pitfalls.
How to Apply:
Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.
Perks and Beyond!
Competitive salary range: Based on experience and market value
Pack your bags! Paid relocation is on us.
Support, even from afar, with our remote assistance.
Regular salary reviews? You betcha!
Ready to Embark?
We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.
Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough
(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)
Summary:
Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients.
About Adidev Technologies Inc.
Adidev Technologies,( is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.
Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.
Global Presence: Our diverse employee workforce spans four continents.
Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.
How We'll Guide You
Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.
Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.
Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.
Career Growth: We facilitate industry experience to propel your technical journey forward.
Key Responsibilities:
• Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
• Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
• Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
• Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
• Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
• Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
• Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
• Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
• Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.
What You'll Bring
Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI.
Software engineering and/or Data Engineering background, especially in one of the major clouds.
Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks
Experience putting ML/AI into production, and ability to talk through best practices and pitfalls.
How to Apply:
Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.
Perks and Beyond!
Competitive salary range: Based on experience and market value
Pack your bags! Paid relocation is on us.
Support, even from afar, with our remote assistance.
Regular salary reviews? You betcha!
Ready to Embark?
We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.
Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough
View Now
1
Data Science & AI Engineers & Developers Onsite at NATO ACT Norfolk
23500 Norfolk, Virginia
Ironclad Defense Works
Posted 1 day ago
Job Viewed
Job Description
Data Science & Ai Engineers & Developers Onsite At Nato Act Norfolk
Ironclad Defense Works (IDW) is seeking top-tier Data Scientists, AI Engineers, and Software Developers to join NATO's Data Science & AI Branch at ACT in Norfolk, VA. These positions offer a chance to design, build, and deploy advanced AI, machine learning, and software solutions that directly enhance NATO's warfare development, experimentation, and decision-support capabilities. This joint posting covers multiple labor categories, ranging from AI enablement & outreach to full-stack and senior software development. Together, they form the core of NATO's innovation in data-driven transformation.
Key Responsibilities- Data Scientist / AI Engineer Enablement & Outreach
- Provide outreach, enablement, and training for NATO staff on data science & AI tools.
- Develop awareness materials, workshops, and demonstrations to promote AI adoption.
- Support collaboration across NATO stakeholders and partner nations.
- Data Scientist / AI Engineer
- Design, build, and train machine learning models for NATO datasets.
- Conduct research and develop prototypes for decision support and operational insights.
- Integrate AI/ML into NATO experimentation, exercises, and wargaming.
- Full-Stack Developer
- Develop scalable applications supporting NATO's AI/DS workflows.
- Build APIs, front-end dashboards, and secure data pipelines.
- Collaborate with data scientists to operationalize AI/ML solutions.
- Senior Software Developer
- Provide advanced coding and systems engineering expertise.
- Lead software design and architecture for NATO AI/DS platforms.
- Ensure code quality, performance, and integration with NATO networks and systems.
- University degree in Computer Science, Data Science, AI/ML, Engineering, or related field.
- Hands-on experience in AI/ML, data science, software engineering, or full-stack development depending on category.
- Demonstrated experience working in multinational, defense, or research organizations.
- Proficiency with modern programming languages (Python, R, Java, C++), data visualization tools, and cloud/virtualization environments.
- Strong oral and written communication skills in English.
- Citizenship of a NATO member nation.
- Active NATO or National SECRET (or higher) clearance
- Familiarity with Agile/DevSecOps methodologies.
- Experience with big data analytics, edge AI, or federated learning.
- Track record of deploying AI/ML in real-world mission or enterprise environments.
- Knowledge of NATO structures, experimentation processes, and operational decision-making.
Apply directly through the posted job ad and link. Candidates may also send a cover letter and NATO-format forward rsum highlighting NATO-related experience to:
View Now
2
Data Science & AI Engineers & Developers - Onsite at NATO ACT Norfolk
23500 Norfolk, Virginia
Ironclad Defense Works
Posted 4 days ago
Job Viewed
Job Description
Data Science & AI Engineers & Developers – Onsite at NATO ACT Norfolk
Location: HQ Supreme Allied Command Transformation (HQ SACT), Norfolk, VA
Position Type: Full-time, Onsite
Clearance Requirement: Active NATO or National SECRET (or higher) security clearance
Role Overview
Ironclad Defense Works (IDW) is seeking top-tier Data Scientists, AI Engineers, and Software Developers to join NATO’s Data Science & AI Branch at ACT in Norfolk, VA. These positions offer a chance to design, build, and deploy advanced AI, machine learning, and software solutions that directly enhance NATO’s warfare development, experimentation, and decision-support capabilities.
This joint posting covers multiple labor categories, ranging from AI enablement & outreach to full-stack and senior software development. Together, they form the core of NATO’s innovation in data-driven transformation.
Key Responsibilities
Data Scientist / AI Engineer – Enablement & Outreach
Application Instructions
Apply directly through the posted job ad and link.
Candidates may also send a cover letter and NATO-format forward résumé , highlighting NATO-related experience, to:
Location: HQ Supreme Allied Command Transformation (HQ SACT), Norfolk, VA
Position Type: Full-time, Onsite
Clearance Requirement: Active NATO or National SECRET (or higher) security clearance
Role Overview
Ironclad Defense Works (IDW) is seeking top-tier Data Scientists, AI Engineers, and Software Developers to join NATO’s Data Science & AI Branch at ACT in Norfolk, VA. These positions offer a chance to design, build, and deploy advanced AI, machine learning, and software solutions that directly enhance NATO’s warfare development, experimentation, and decision-support capabilities.
This joint posting covers multiple labor categories, ranging from AI enablement & outreach to full-stack and senior software development. Together, they form the core of NATO’s innovation in data-driven transformation.
Key Responsibilities
Data Scientist / AI Engineer – Enablement & Outreach
- Provide outreach, enablement, and training for NATO staff on data science & AI tools.
- Develop awareness materials, workshops, and demonstrations to promote AI adoption.
- Support collaboration across NATO stakeholders and partner nations.
- Design, build, and train machine learning models for NATO datasets.
- Conduct research and develop prototypes for decision support and operational insights.
- Integrate AI/ML into NATO experimentation, exercises, and wargaming.
- Develop scalable applications supporting NATO’s AI/DS workflows.
- Build APIs, front-end dashboards, and secure data pipelines.
- Collaborate with data scientists to operationalize AI/ML solutions.
- Provide advanced coding and systems engineering expertise.
- Lead software design and architecture for NATO AI/DS platforms.
- Ensure code quality, performance, and integration with NATO networks and systems.
- University degree in Computer Science, Data Science, AI/ML, Engineering, or related field.
- Hands-on experience in AI/ML, data science, software engineering, or full-stack development depending on category.
- Demonstrated experience working in multinational, defense, or research organizations.
- Proficiency with modern programming languages (Python, R, Java, C++), data visualization tools, and cloud/virtualization environments.
- Strong oral and written communication skills in English.
- Citizenship of a NATO member nation.
- Active NATO or National SECRET (or higher) clearance
- Familiarity with Agile/DevSecOps methodologies.
- Experience with big data analytics, edge AI, or federated learning.
- Track record of deploying AI/ML in real-world mission or enterprise environments.
- Knowledge of NATO structures, experimentation processes, and operational decision-making.
Application Instructions
Apply directly through the posted job ad and link.
Candidates may also send a cover letter and NATO-format forward résumé , highlighting NATO-related experience, to:
View Now
3
Data Science & AI Engineers & Developers - Onsite at NATO ACT Norfolk
23500 Norfolk, Virginia
Ironclad Defense Works, Inc.
Posted 4 days ago
Job Viewed
Job Description
Data Science & AI Engineers & Developers - Onsite at NATO ACT Norfolk
Location: HQ Supreme Allied Command Transformation (HQ SACT), Norfolk, VA
Position Type: Full-time, Onsite
Clearance Requirement: Active NATO or National SECRET (or higher) security clearance
Role Overview
Ironclad Defense Works (IDW) is seeking top-tier Data Scientists, AI Engineers, and Software Developers to join NATO's Data Science & AI Branch at ACT in Norfolk, VA. These positions offer a chance to design, build, and deploy advanced AI, machine learning, and software solutions that directly enhance NATO's warfare development, experimentation, and decision-support capabilities.
This joint posting covers multiple labor categories, ranging from AI enablement & outreach to full-stack and senior software development. Together, they form the core of NATO's innovation in data-driven transformation.
Key Responsibilities
Data Scientist / AI Engineer - Enablement & Outreach
Application Instructions
Apply directly through the posted job ad and link.
Candidates may also send a cover letter and NATO-format forward résumé , highlighting NATO-related experience, to:
(email protected)
Location: HQ Supreme Allied Command Transformation (HQ SACT), Norfolk, VA
Position Type: Full-time, Onsite
Clearance Requirement: Active NATO or National SECRET (or higher) security clearance
Role Overview
Ironclad Defense Works (IDW) is seeking top-tier Data Scientists, AI Engineers, and Software Developers to join NATO's Data Science & AI Branch at ACT in Norfolk, VA. These positions offer a chance to design, build, and deploy advanced AI, machine learning, and software solutions that directly enhance NATO's warfare development, experimentation, and decision-support capabilities.
This joint posting covers multiple labor categories, ranging from AI enablement & outreach to full-stack and senior software development. Together, they form the core of NATO's innovation in data-driven transformation.
Key Responsibilities
Data Scientist / AI Engineer - Enablement & Outreach
- Provide outreach, enablement, and training for NATO staff on data science & AI tools.
- Develop awareness materials, workshops, and demonstrations to promote AI adoption.
- Support collaboration across NATO stakeholders and partner nations.
- Design, build, and train machine learning models for NATO datasets.
- Conduct research and develop prototypes for decision support and operational insights.
- Integrate AI/ML into NATO experimentation, exercises, and wargaming.
- Develop scalable applications supporting NATO's AI/DS workflows.
- Build APIs, front-end dashboards, and secure data pipelines.
- Collaborate with data scientists to operationalize AI/ML solutions.
- Provide advanced coding and systems engineering expertise.
- Lead software design and architecture for NATO AI/DS platforms.
- Ensure code quality, performance, and integration with NATO networks and systems.
- University degree in Computer Science, Data Science, AI/ML, Engineering, or related field.
- Hands-on experience in AI/ML, data science, software engineering, or full-stack development depending on category.
- Demonstrated experience working in multinational, defense, or research organizations.
- Proficiency with modern programming languages (Python, R, Java, C++), data visualization tools, and cloud/virtualization environments.
- Strong oral and written communication skills in English.
- Citizenship of a NATO member nation.
- Active NATO or National SECRET (or higher) clearance
- Familiarity with Agile/DevSecOps methodologies.
- Experience with big data analytics, edge AI, or federated learning.
- Track record of deploying AI/ML in real-world mission or enterprise environments.
- Knowledge of NATO structures, experimentation processes, and operational decision-making.
Application Instructions
Apply directly through the posted job ad and link.
Candidates may also send a cover letter and NATO-format forward résumé , highlighting NATO-related experience, to:
(email protected)
View Now
4
AI Engineers, Software Developers, and Full-Stack Innovators
94199 San Francisco, California
Elite Solutions LLC
Posted 4 days ago
Job Viewed
Job Description
We are expanding our AI-driven teams and hiring developers, engineers, and researchers who are passionate about building the next generation of artificial intelligence systems.
Whether your strength lies in building user interfaces , developing back-end logic , training AI models , or designing infrastructure , we have a place for you!
You don’t need to know exactly where you fit—we’ll guide you. Just read the descriptions below and tell us which area matches your skills and interests best.
Requirements
1. Front-End DeveloperDesigns and implements user-facing applications and dashboards.
Key Skills: React, JavaScript/TypeScript, TailwindCSS, Figma, UX principles.
Builds APIs and server-side systems that power AI tools and data pipelines.
Key Skills: Python, FastAPI, Go, SQL/NoSQL, REST/GraphQL.
Develops end-to-end applications connecting front-end interfaces with back-end AI logic.
Key Skills: Combination of Front-End and Back-End skills, API design, CI/CD.
Deploys, fine-tunes, and maintains AI models in production.
Key Skills: PyTorch/TensorFlow, MLOps, model serving, inference optimization.
Builds scalable data pipelines and manages datasets for training and evaluation.
Key Skills: Apache Airflow, Spark, SQL, Python, BigQuery, ETL systems.
Bridges the gap between AI theory and implementation by building prototypes.
Key Skills: Python, ML libraries, LLM experimentation, rapid prototyping.
Ensures reliability, monitoring, and automation across AI systems.
Key Skills: Kubernetes, Docker, Prometheus, CI/CD, Python/Bash.
Designs and maintains the cloud infrastructure supporting AI training and deployment.
Key Skills: AWS/GCP, Terraform, distributed systems, cost optimization.
Secures the platforms and services powering our AI stack.
Key Skills: Cloud security, identity management, penetration testing, audits.
Conducts experiments to advance the science behind our models (e.g., LLMs, computer vision, reinforcement learning).
Key Skills: Research publications, advanced ML theory, model development, experimentation.
View Now
5
AI Cluster Network Engineers
01805 Burlington, Kentucky
Syntricate Technologies
Posted 4 days ago
Job Viewed
Job Description
AI Cluster Network Engineers
Duration: 6 months possible CTH - no sponsorship available
Location: Hybrid Onsite in Morrisville, NC
Required Skills:
Must have:
• Experience with ND/NDFC for building and troubleshooting Networks
• Experience with VXLan based networks and troubleshooting
• Experience monitoring and troubleshooting QoS for RoCEv2
• Experience with BGP routing
• Experience with ACI
• Desirable to have experience with L3 Fabrics
• Desirable to have familiarity with Nvidia and Linux networking
• Desirable to have experience with Python, Prometheus and Grafana
• Desirable to have experience with FirePower Firwalls
View Now
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6
Director - AI Development Engineer
30309 Midtown Atlanta, Georgia
Mastercard
Posted 2 days ago
Job Viewed
Job Description
**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Director - AI Development Engineer
Overview:
The Director - AI Development Engineering leads the end-to-end delivery of AI use cases within the AI Center of Excellence. Acting as the technical face of each initiative, this role partners with business stakeholders, data and platform teams, and compliance functions to translate strategy into scalable, secure solutions. The Director builds and manages a high-performing engineering team, delivering AI systems using both low-code and pro-code platforms. Success is measured by business value realization, solution adoption, quality, and speed to market.
The Role:
- Own and execute a multi-quarter roadmap for AI capabilities across diverse use cases.
- Lead engineering teams delivering AI solutions using low-code (Copilot Studio, Power Platform) and pro-code (Databricks, Azure, AWS) platforms.
- Act as technical liaison with business sponsors; drive discovery, requirements, and solution design.
- Provide executive-level updates on progress, risks, and value, influence decisions with data.
- Architect solutions aligned with enterprise standards; promote reuse via reference architectures and shared components.
- Implement enterprise-grade SDLC and MLOps practices: CI/CD, automated testing, model registry, version control.
- Ensure reliability through monitoring, observability, and incident response for models, pipelines, and applications.
- Integrate AI systems with enterprise data platforms, APIs, identity, and security controls.
- Guide teams on LLM and classical ML patterns (e.g., RAG, evaluation, guardrails); balance low-code and pro-code approaches.
- Embed Responsible AI, privacy, and model risk management throughout the delivery lifecycle.
- Hire, mentor, and retain top engineering talent; manage vendors and foster a learning culture.
- Define and track OKRs; continuously improve velocity, deployment frequency, and change failure rates.
All About You:
- Bachelor's or Master's in Computer Science, Engineering, or related field; advanced degrees (MS/PhD or MBA) preferred.
- Proven leadership in delivering enterprise-scale AI/ML solutions across software, data, and platform engineering.
- Hands-on experience with low-code tools (Power Platform, Copilot Studio) and pro-code environments (Databricks, AWS, Azure).
- Deep expertise in MLOps/LLMOps: CI/CD, automated testing, model/version registry, evaluation frameworks, and guardrails.
- Strong understanding of enterprise architecture (APIs, microservices, event-driven systems) and data platforms (Delta Lake, feature stores).
- Skilled in cloud infrastructure (Azure, AWS), containerization (Docker, Kubernetes), and observability (logs, metrics, tracing).
- Experience with Responsible AI, identity and access management, data protection, and integration with vector databases and enterprise apps.
- Effective communicator and strategic leader with experience in regulated environments, stakeholder alignment, and team development.
#AI1
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more.
**Pay Ranges**
O'Fallon, Missouri: $165,000 - $64,000 USD
Atlanta, Georgia: 165,000 - 264,000 USD
Austin, Texas: 165,000 - 264,000 USD
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Director - AI Development Engineer
Overview:
The Director - AI Development Engineering leads the end-to-end delivery of AI use cases within the AI Center of Excellence. Acting as the technical face of each initiative, this role partners with business stakeholders, data and platform teams, and compliance functions to translate strategy into scalable, secure solutions. The Director builds and manages a high-performing engineering team, delivering AI systems using both low-code and pro-code platforms. Success is measured by business value realization, solution adoption, quality, and speed to market.
The Role:
- Own and execute a multi-quarter roadmap for AI capabilities across diverse use cases.
- Lead engineering teams delivering AI solutions using low-code (Copilot Studio, Power Platform) and pro-code (Databricks, Azure, AWS) platforms.
- Act as technical liaison with business sponsors; drive discovery, requirements, and solution design.
- Provide executive-level updates on progress, risks, and value, influence decisions with data.
- Architect solutions aligned with enterprise standards; promote reuse via reference architectures and shared components.
- Implement enterprise-grade SDLC and MLOps practices: CI/CD, automated testing, model registry, version control.
- Ensure reliability through monitoring, observability, and incident response for models, pipelines, and applications.
- Integrate AI systems with enterprise data platforms, APIs, identity, and security controls.
- Guide teams on LLM and classical ML patterns (e.g., RAG, evaluation, guardrails); balance low-code and pro-code approaches.
- Embed Responsible AI, privacy, and model risk management throughout the delivery lifecycle.
- Hire, mentor, and retain top engineering talent; manage vendors and foster a learning culture.
- Define and track OKRs; continuously improve velocity, deployment frequency, and change failure rates.
All About You:
- Bachelor's or Master's in Computer Science, Engineering, or related field; advanced degrees (MS/PhD or MBA) preferred.
- Proven leadership in delivering enterprise-scale AI/ML solutions across software, data, and platform engineering.
- Hands-on experience with low-code tools (Power Platform, Copilot Studio) and pro-code environments (Databricks, AWS, Azure).
- Deep expertise in MLOps/LLMOps: CI/CD, automated testing, model/version registry, evaluation frameworks, and guardrails.
- Strong understanding of enterprise architecture (APIs, microservices, event-driven systems) and data platforms (Delta Lake, feature stores).
- Skilled in cloud infrastructure (Azure, AWS), containerization (Docker, Kubernetes), and observability (logs, metrics, tracing).
- Experience with Responsible AI, identity and access management, data protection, and integration with vector databases and enterprise apps.
- Effective communicator and strategic leader with experience in regulated environments, stakeholder alignment, and team development.
#AI1
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more.
**Pay Ranges**
O'Fallon, Missouri: $165,000 - $64,000 USD
Atlanta, Georgia: 165,000 - 264,000 USD
Austin, Texas: 165,000 - 264,000 USD
View Now
7
Director - AI Development Engineer
78703 Austin, Texas
Mastercard
Posted 9 days ago
Job Viewed
Job Description
**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Director - AI Development Engineer
Overview:
The Director - AI Development Engineering leads the end-to-end delivery of AI use cases within the AI Center of Excellence. Acting as the technical face of each initiative, this role partners with business stakeholders, data and platform teams, and compliance functions to translate strategy into scalable, secure solutions. The Director builds and manages a high-performing engineering team, delivering AI systems using both low-code and pro-code platforms. Success is measured by business value realization, solution adoption, quality, and speed to market.
The Role:
- Own and execute a multi-quarter roadmap for AI capabilities across diverse use cases.
- Lead engineering teams delivering AI solutions using low-code (Copilot Studio, Power Platform) and pro-code (Databricks, Azure, AWS) platforms.
- Act as technical liaison with business sponsors; drive discovery, requirements, and solution design.
- Provide executive-level updates on progress, risks, and value, influence decisions with data.
- Architect solutions aligned with enterprise standards; promote reuse via reference architectures and shared components.
- Implement enterprise-grade SDLC and MLOps practices: CI/CD, automated testing, model registry, version control.
- Ensure reliability through monitoring, observability, and incident response for models, pipelines, and applications.
- Integrate AI systems with enterprise data platforms, APIs, identity, and security controls.
- Guide teams on LLM and classical ML patterns (e.g., RAG, evaluation, guardrails); balance low-code and pro-code approaches.
- Embed Responsible AI, privacy, and model risk management throughout the delivery lifecycle.
- Hire, mentor, and retain top engineering talent; manage vendors and foster a learning culture.
- Define and track OKRs; continuously improve velocity, deployment frequency, and change failure rates.
All About You:
- Bachelor's or Master's in Computer Science, Engineering, or related field; advanced degrees (MS/PhD or MBA) preferred.
- Proven leadership in delivering enterprise-scale AI/ML solutions across software, data, and platform engineering.
- Hands-on experience with low-code tools (Power Platform, Copilot Studio) and pro-code environments (Databricks, AWS, Azure).
- Deep expertise in MLOps/LLMOps: CI/CD, automated testing, model/version registry, evaluation frameworks, and guardrails.
- Strong understanding of enterprise architecture (APIs, microservices, event-driven systems) and data platforms (Delta Lake, feature stores).
- Skilled in cloud infrastructure (Azure, AWS), containerization (Docker, Kubernetes), and observability (logs, metrics, tracing).
- Experience with Responsible AI, identity and access management, data protection, and integration with vector databases and enterprise apps.
- Effective communicator and strategic leader with experience in regulated environments, stakeholder alignment, and team development.
#AI1
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more.
**Pay Ranges**
O'Fallon, Missouri: $165,000 - $64,000 USD
Atlanta, Georgia: 165,000 - 264,000 USD
Austin, Texas: 165,000 - 264,000 USD
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Director - AI Development Engineer
Overview:
The Director - AI Development Engineering leads the end-to-end delivery of AI use cases within the AI Center of Excellence. Acting as the technical face of each initiative, this role partners with business stakeholders, data and platform teams, and compliance functions to translate strategy into scalable, secure solutions. The Director builds and manages a high-performing engineering team, delivering AI systems using both low-code and pro-code platforms. Success is measured by business value realization, solution adoption, quality, and speed to market.
The Role:
- Own and execute a multi-quarter roadmap for AI capabilities across diverse use cases.
- Lead engineering teams delivering AI solutions using low-code (Copilot Studio, Power Platform) and pro-code (Databricks, Azure, AWS) platforms.
- Act as technical liaison with business sponsors; drive discovery, requirements, and solution design.
- Provide executive-level updates on progress, risks, and value, influence decisions with data.
- Architect solutions aligned with enterprise standards; promote reuse via reference architectures and shared components.
- Implement enterprise-grade SDLC and MLOps practices: CI/CD, automated testing, model registry, version control.
- Ensure reliability through monitoring, observability, and incident response for models, pipelines, and applications.
- Integrate AI systems with enterprise data platforms, APIs, identity, and security controls.
- Guide teams on LLM and classical ML patterns (e.g., RAG, evaluation, guardrails); balance low-code and pro-code approaches.
- Embed Responsible AI, privacy, and model risk management throughout the delivery lifecycle.
- Hire, mentor, and retain top engineering talent; manage vendors and foster a learning culture.
- Define and track OKRs; continuously improve velocity, deployment frequency, and change failure rates.
All About You:
- Bachelor's or Master's in Computer Science, Engineering, or related field; advanced degrees (MS/PhD or MBA) preferred.
- Proven leadership in delivering enterprise-scale AI/ML solutions across software, data, and platform engineering.
- Hands-on experience with low-code tools (Power Platform, Copilot Studio) and pro-code environments (Databricks, AWS, Azure).
- Deep expertise in MLOps/LLMOps: CI/CD, automated testing, model/version registry, evaluation frameworks, and guardrails.
- Strong understanding of enterprise architecture (APIs, microservices, event-driven systems) and data platforms (Delta Lake, feature stores).
- Skilled in cloud infrastructure (Azure, AWS), containerization (Docker, Kubernetes), and observability (logs, metrics, tracing).
- Experience with Responsible AI, identity and access management, data protection, and integration with vector databases and enterprise apps.
- Effective communicator and strategic leader with experience in regulated environments, stakeholder alignment, and team development.
#AI1
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more.
**Pay Ranges**
O'Fallon, Missouri: $165,000 - $64,000 USD
Atlanta, Georgia: 165,000 - 264,000 USD
Austin, Texas: 165,000 - 264,000 USD
View Now
8
Director - AI Development Engineer
63368 O'Fallon, Missouri
Mastercard
Posted 9 days ago
Job Viewed
Job Description
**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Director - AI Development Engineer
Overview:
The Director - AI Development Engineering leads the end-to-end delivery of AI use cases within the AI Center of Excellence. Acting as the technical face of each initiative, this role partners with business stakeholders, data and platform teams, and compliance functions to translate strategy into scalable, secure solutions. The Director builds and manages a high-performing engineering team, delivering AI systems using both low-code and pro-code platforms. Success is measured by business value realization, solution adoption, quality, and speed to market.
The Role:
- Own and execute a multi-quarter roadmap for AI capabilities across diverse use cases.
- Lead engineering teams delivering AI solutions using low-code (Copilot Studio, Power Platform) and pro-code (Databricks, Azure, AWS) platforms.
- Act as technical liaison with business sponsors; drive discovery, requirements, and solution design.
- Provide executive-level updates on progress, risks, and value, influence decisions with data.
- Architect solutions aligned with enterprise standards; promote reuse via reference architectures and shared components.
- Implement enterprise-grade SDLC and MLOps practices: CI/CD, automated testing, model registry, version control.
- Ensure reliability through monitoring, observability, and incident response for models, pipelines, and applications.
- Integrate AI systems with enterprise data platforms, APIs, identity, and security controls.
- Guide teams on LLM and classical ML patterns (e.g., RAG, evaluation, guardrails); balance low-code and pro-code approaches.
- Embed Responsible AI, privacy, and model risk management throughout the delivery lifecycle.
- Hire, mentor, and retain top engineering talent; manage vendors and foster a learning culture.
- Define and track OKRs; continuously improve velocity, deployment frequency, and change failure rates.
All About You:
- Bachelor's or Master's in Computer Science, Engineering, or related field; advanced degrees (MS/PhD or MBA) preferred.
- Proven leadership in delivering enterprise-scale AI/ML solutions across software, data, and platform engineering.
- Hands-on experience with low-code tools (Power Platform, Copilot Studio) and pro-code environments (Databricks, AWS, Azure).
- Deep expertise in MLOps/LLMOps: CI/CD, automated testing, model/version registry, evaluation frameworks, and guardrails.
- Strong understanding of enterprise architecture (APIs, microservices, event-driven systems) and data platforms (Delta Lake, feature stores).
- Skilled in cloud infrastructure (Azure, AWS), containerization (Docker, Kubernetes), and observability (logs, metrics, tracing).
- Experience with Responsible AI, identity and access management, data protection, and integration with vector databases and enterprise apps.
- Effective communicator and strategic leader with experience in regulated environments, stakeholder alignment, and team development.
#AI1
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more.
**Pay Ranges**
O'Fallon, Missouri: $165,000 - $64,000 USD
Atlanta, Georgia: 165,000 - 264,000 USD
Austin, Texas: 165,000 - 264,000 USD
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Director - AI Development Engineer
Overview:
The Director - AI Development Engineering leads the end-to-end delivery of AI use cases within the AI Center of Excellence. Acting as the technical face of each initiative, this role partners with business stakeholders, data and platform teams, and compliance functions to translate strategy into scalable, secure solutions. The Director builds and manages a high-performing engineering team, delivering AI systems using both low-code and pro-code platforms. Success is measured by business value realization, solution adoption, quality, and speed to market.
The Role:
- Own and execute a multi-quarter roadmap for AI capabilities across diverse use cases.
- Lead engineering teams delivering AI solutions using low-code (Copilot Studio, Power Platform) and pro-code (Databricks, Azure, AWS) platforms.
- Act as technical liaison with business sponsors; drive discovery, requirements, and solution design.
- Provide executive-level updates on progress, risks, and value, influence decisions with data.
- Architect solutions aligned with enterprise standards; promote reuse via reference architectures and shared components.
- Implement enterprise-grade SDLC and MLOps practices: CI/CD, automated testing, model registry, version control.
- Ensure reliability through monitoring, observability, and incident response for models, pipelines, and applications.
- Integrate AI systems with enterprise data platforms, APIs, identity, and security controls.
- Guide teams on LLM and classical ML patterns (e.g., RAG, evaluation, guardrails); balance low-code and pro-code approaches.
- Embed Responsible AI, privacy, and model risk management throughout the delivery lifecycle.
- Hire, mentor, and retain top engineering talent; manage vendors and foster a learning culture.
- Define and track OKRs; continuously improve velocity, deployment frequency, and change failure rates.
All About You:
- Bachelor's or Master's in Computer Science, Engineering, or related field; advanced degrees (MS/PhD or MBA) preferred.
- Proven leadership in delivering enterprise-scale AI/ML solutions across software, data, and platform engineering.
- Hands-on experience with low-code tools (Power Platform, Copilot Studio) and pro-code environments (Databricks, AWS, Azure).
- Deep expertise in MLOps/LLMOps: CI/CD, automated testing, model/version registry, evaluation frameworks, and guardrails.
- Strong understanding of enterprise architecture (APIs, microservices, event-driven systems) and data platforms (Delta Lake, feature stores).
- Skilled in cloud infrastructure (Azure, AWS), containerization (Docker, Kubernetes), and observability (logs, metrics, tracing).
- Experience with Responsible AI, identity and access management, data protection, and integration with vector databases and enterprise apps.
- Effective communicator and strategic leader with experience in regulated environments, stakeholder alignment, and team development.
#AI1
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more.
**Pay Ranges**
O'Fallon, Missouri: $165,000 - $64,000 USD
Atlanta, Georgia: 165,000 - 264,000 USD
Austin, Texas: 165,000 - 264,000 USD
View Now
9