Description
Description
Varen, an SAIC Company is seeking an AI Platform Engineer - SETA to join our team. This position is located in Columbia, MD and requires a TS/SCI with polygraph.
We are seeking an AI Product Manager - SETA to Contractor SETA AI Platform Engineer to advise and support the design, integration, and maturation of AI-enabling infrastructure across mission-focused environments. This role is ideal for a technically strong engineer who understands how to stand up, assess, and guide modern AI platforms in secure government settings, with particular familiarity in cloud and enterprise ecosystems such as Microsoft Azure and Amazon Web Services (AWS).
The ideal candidate is not just technically capable, but deeply curious, self-motivated, and passionate about AI. We are looking for someone who continuously learns, experiments, and stays current with emerging tools, architectures, and best practices—even outside formal work requirements. This person should bring both engineering judgment and an enthusiasm for helping government teams adopt AI platforms in a practical, secure, and mission-aligned way.
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.
- 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.
- ssist 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.
- 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.
- TS/SCI with polygraph.
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