Why This Role Stands Out
This hybrid role offers a unique opportunity to build the core infrastructure for enterprise AI adoption, directly impacting developer productivity and future AI applications. You'll thrive here if you're passionate about secure AI deployment and want to shape a reusable platform foundation within a reputable company. Apply now to be at the forefront of innovation in AI infrastructure!
Quick Overview
Job Description
Systems Engineering Services is seeking a Sr. AI Platform Engineer based in the DMV Area.
About the RoleWe are looking for a Senior AI Platform Engineer to build the foundational infrastructure required to securely deploy, govern, observe, and scale enterprise AI capabilities. The role will start with a focused 3 6 month mandate to enable coding agents, including GitHub Copilot and Claude Code using BYOK deployment patterns, with model access served through Parsons-controlled cloud environments across Azure AI Foundry and AWS Bedrock.
In parallel, you will extend that same foundation into a broader AI platform capability for enterprise AI applications that require governed model access, MCP-based access to tools and data, secure agent runtime patterns, and reusable agent development platforms in Azure AI Foundry and AWS AgentCore.
Why It Will Fun:
This role creates the secure operating foundation for enterprise adoption of AI. Coding agents are the first high-priority use case because they create immediate developer productivity value and require strong model access, tool access, observability, cost, and compliance controls. The longer-term value is a reusable AI platform foundation that can support additional enterprise AI applications, MCP-enabled integrations, and governed agent development across Federal and Commercial teams.
Jake Lutman
Technical Recruiter
Systems Engineering Services
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