AI Platform Engineer - SETA

Key Responsibilities

• Provide SETA support to government leadership and technical teams on AI platform architecture, integration, and sustainment.
• Advise on the design and evaluation of AI/ML platform environments across cloud, hybrid, and enterprise deployments.
• Support platform decisions involving Azure, AWS, Microsoft enterprise services, containerized environments, data pipelines, model hosting, and secure access patterns.
• Assess platform readiness for AI workloads, including compute, storage, networking, identity, security, observability, and scalability considerations.
• Help evaluate vendor offerings, reference architectures, technical tradeoffs, and implementation approaches.
• Coordinate with program managers, engineers, mission stakeholders, cybersecurity teams, and external partners to keep platform efforts aligned with mission outcomes.
• Identify integration risks, technical gaps, and dependencies, and recommend practical mitigation strategies.
• Assist with transition planning from prototype or pilot efforts into sustainable operational capability.
• Educate stakeholders on AI platform concepts, emerging patterns, and implementation best practices in government environments.

Qualifications

• Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience.
• Experience supporting AI/ML, data, cloud, or platform engineering efforts in government, defense, or enterprise environments.
• Demonstrated familiarity with Microsoft and/or AWS platform ecosystems.
• Working knowledge of cloud architecture, containers, APIs, data services, identity/access management, and secure system integration.
• Experience producing technical assessments, recommendations, or engineering support artifacts for leadership or program offices.
• Strong written and verbal communication skills.
• TS/SCI with polygraph.

Pay

Target salary range $200,001 - $240,000.