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.
Support the development of technical documentation, architecture artifacts, white papers, decision briefings, and executive summaries.
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.

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
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.
Ability to understand how AI applications depend on underlying platform components such as model hosting, pipelines, storage, orchestration, and monitoring.
Experience producing technical assessments, recommendations, or engineering support artifacts for leadership or program offices.
Strong written and verbal communication skills.
Active TS with poly required.

AI Platform Engineer

Key skills