AI/ML Architect

We are seeking an experienced AI/ML Architect to support the Department of Veterans Affairs (VA) in shaping the strategy, governance, and operational frameworks that guide enterprise-wide artificial intelligence and machine learning initiatives. In this role, you will design and maintain robust AI product management pipelines that enable the VA to responsibly deploy and scale AI/ML solutions across its healthcare and benefits delivery mission.

What You Will Do

Design, establish, and maintain enterprise-level AI/ML product management pipelines that support the full model lifecycle — from data ingestion and experimentation through deployment, monitoring, and decommissioning — aligned with VA governance standards. Develop and document AI/ML architecture blueprints, reference architectures, and technical standards that guide development teams across VA programs and ensure consistency, scalability, and compliance with federal AI policy.

Why It Might Be a Fit

The ideal candidate is a technically fluent, strategically minded professional who thrives at the intersection of cutting-edge ML engineering and enterprise-scale governance, bringing both hands-on MLOps expertise and the organizational savvy to influence policy and stakeholder decision-making in a complex federal environment.

Requirements

• 5+ years of hands-on experience in AI/ML architecture, data science engineering, or a closely related technical discipline
• Demonstrated experience establishing or maintaining enterprise-level AI/ML product management pipelines
• Prior experience supporting federal agency clients or large-scale regulated-industry environments (e.g., healthcare, finance, defense)
• Ability to obtain and maintain a VA Position of Public Trust (suitability clearance)
• Deep familiarity with MLOps frameworks, platforms, and tools (e.g., MLflow, Kubeflow, SageMaker, Azure ML, DataRobot)

Benefits

• Competitive salary
• Health insurance
• Paid time off (vacation, sick leave)
• Retirement plan
• Professional development opportunities
• Flexible work arrangements (remote work)
• Opportunities for career growth and advancement