SETA AI Platform Engineer

What You'll Be Doing

• 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.
• Cook up coordination 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.
• Aid in transition planning from prototype or pilot efforts into sustainable operational capability.
• Coach stakeholders on AI platform concepts, emerging patterns, and implementation best practices in government environments.

What Required Skills You'll Bring

• Min 12 years with Bachelors, 10 years with Masters 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.
• Strong written and verbal communication skills.
• Naturally curious and energized by learning new technologies.
• Buys, tests, and explores tools independently.
• Passionate about AI and platform modernization.
• Comfortable operating in ambiguous environments and helping teams find a path forward.
• Able to translate complex technical issues into actionable guidance for mixed technical and non-technical audiences.
• Mission-oriented, collaborative, and proactive.

What Desired Skills You'll Bring

• Experience with Azure AI services, AWS AI/ML services, Kubernetes, Docker, MLOps, DevSecOps, Infrastructure as Code, or platform observability tools.
• Familiarity with secure government cloud environments and cross-domain or restricted operational architectures.
• Understanding of AI governance, responsible AI, model lifecycle support, and platform security considerations.
• Experience supporting DoD, IC, or cyber mission organizations.
• Relevant certifications in cloud, systems engineering, cybersecurity, or platform operations.