AI/ML Technical Architect Lead

General Dynamics Information Technology; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Growth opportunities

Competitive benefits

Flexible work week

Job summary

General Dynamics Information Technology (GDIT) seeks an AI/ML Technical Architect Lead to drive architecture, development, and deployment of AI/ML capabilities for CMS. You will lead cross‑functional teams, ensure secure, compliant AI solutions, and guide model lifecycle management and risk management.

The role demands extensive hands‑on AI/ML experience, cloud proficiency (AWS/GCP/Azure), and the ability to obtain Public Trust clearance. U.S. residency required.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field (Master’s or PhD preferred).
• 10+ years of progressive experience in AI/ML, data science, software engineering, or related advanced analytics disciplines, including hands‑on experience with modern AI technologies.
• Hands‑on development position; must have experience developing AI/ML solutions.
• 5+ years of hands‑on experience designing, developing, and deploying AI/ML solutions in production environments, including MLOps practices.
• Proficiency in Python, R, and/or Java.
• Deep understanding of TensorFlow or PyTorch, preferably in AWS SageMaker.
• Experience integrating AI/ML into secure enterprise environments, with cybersecurity and data governance compliance.
• Experience developing AI products or prototypes using RAG and agentic AI technologies.
• Experience with cloud platforms (AWS preferred; Azure or Google Cloud acceptable) and AI services like Bedrock, Foundry, or Vertex AI.
• Must be able to obtain Public Trust clearance and have lived in the United States for at least 3 of last 5 years.

Responsibilities

• Serve as the technical lead for AI/ML strategy, architecture, and implementation across the CMS program.
• Design and deploy scalable AI/ML models in support of the CMS mission.
• Lead development of predictive analytics, automation frameworks, and intelligent decision‑support systems.
• Integrate AI solutions into secure enterprise and tactical environments.
• Ensure CMS cybersecurity and data governance standards are followed.
• Provide oversight of data engineering pipelines and model lifecycle management (MLOps).
• Develop and maintain model validation, explainability, and bias mitigation practices.
• Advise program leadership on emerging AI technologies and mission applications.
• Support transition of experimental AI capabilities into production systems.
• Integrate security, ethical, and data governance requirements into AI development workflows.
• Drive AI security risk management and prepare required ATO, configuration management, and incident response documentation.
• Coordinate with ISSOs, business owners, and stakeholders to implement secure AI solutions and participate in audits and governance reviews.
• Lead security governance activities to maintain continuous CMS cybersecurity and operational standards.
• Mentor junior engineers and provide technical leadership across cross‑functional teams.

Skills

AI/ML

Python/R/Java

TensorFlow/PyTorch

AWS SageMaker

MLOps

Security & Compliance

Public Trust clearance

Education

Bachelor’s degree in Computer Science/Engineering/Data Science

Master’s or PhD preferred

Tools

AWS Bedrock

Azure AI Foundry

Google Vertex AI

SageMaker/AWS services

Job description

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As an Artificial Intelligence (AI)/Machine Learning (ML) Technical Architect Lead at GDIT, you’ll power in joining our team to support the Centers for Medicare and Medicaid Services (CMS). Work Visa sponsorship will not be provided.

At GDIT, people are our differentiator. As an AI/ML Technical Architect Lead supporting CMS, you will architect, develop, integrate, and operationalize AI/ML Technical Architect Lead capabilities that enhance decision support and operational readiness across environments.You will be responsible for designing, developing and deploying AI models, algorithms and systems to enhance productivity, decision-making and automation within the organization.

Key Responsibilities

• Serve as the technical lead for AI/ML strategy, architecture, and implementation across the program.
• Design and deploy scalable AI/ML models in support of the CMS mission.
• Lead development of predictive analytics, automation frameworks, and intelligent decision‑support systems.
• Integrate AI solutions into secure enterprise and tactical environments.
• Ensure compliance with CMS cybersecurity and data governance standards.
• Provide oversight of data engineering pipelines and model lifecycle management (MLOps).
• Develop and maintain model validation, explainability, and bias mitigation practices.
• Advise program leadership and stakeholders on emerging AI technologies and mission applications.
• Support transition of experimental or prototype AI capabilities into operational production systems.
• Integrate security, ethical, and data governance requirements directly into AI development workflows, ensuring alignment with CMS Risk Management Framework expectations.
• Drive AI security risk management by assessing threats and producing required ATO, configuration management, and incident response documentation.
• Coordinate with ISSOs, business owners, and other stakeholders to implement secure AI solutions and participate in audits, interviews, and governance reviews.
• Lead engagement in security governance processes to maintain continuous compliance with CMS cybersecurity and operational standards.
• Mentor junior engineers and provide technical leadership across cross‑functional teams.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field (Master’s or PhD preferred).
• 10+ years of progressive experience in AI/ML, data science, software engineering, or related advanced analytics disciplines, including hands‑on experience with modern AI technologies.
• This is a hands on development position must have experience developing AI/ML solutions.
• 5+ years of hands‑on experience designing, developing, and deploying AI/ML solutions in production environments, including experience with modern AI technologies and MLOps practices.
• Proficiency in programming languages such as Python, R, and/or Java.
• Deep understanding of machine learning frameworks such as TensorFlow or PyTorch, preferably implemented within AWS SageMaker.
• Experience integrating AI/ML capabilities into secure enterprise environments and adhering to cybersecurity, data governance, and compliance requirements.
• Experience developing AI products or functional prototypes using Retrieval‑Augmented Generation (RAG) and agentic AI technologies.
• Experience working with cloud computing platforms (AWS preferred; Azure or Google Cloud acceptable) and using AI services such as AWS Bedrock, Azure AI Foundry, or Google Vertex AI.
• Experience implementing AI solutions in secure, restricted or regulated environments.
• Candidate must be able to obtain Public Trust clearance.
• Candidate must have lived in the United States at least three (3) out of the last five (5) years.

Preferred Qualifications

• Experience supporting enterprise-scale Salesforce Solutions; Agentforce implementation experience is highly preferrable.
• Familiarity with AI governance practices and modernization initiatives, including efforts to align AI capabilities with enterprise transformation goals.
• Experience working with or supporting U.S. Federal Agencies, preferably the Centers for Medicare and Medicaid Services (CMS).
• Experience deploying AI/ML solutions in cloud environments such as AWS GovCloud or Azure Government.
• Knowledge of Zero Trust architectures and the integration of cybersecurity principles into AI/ML systems.

GDIT IS YOUR PLACE

At GDIT, the mission is our purpose, and our people are at the center of everything we do.

• Growth: AI-powered career tool that identifies career steps and learning opportunities
• Support: An internal mobility team focused on helping you achieve your career goals
• Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
• Flexibility: Full-flex work week to own your priorities at work and at home
• Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY

Explore a career at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your sense of ownership and pride in the meaningful work we do.