AI Solutions Architect- Federal

What you'll do

• Lead discovery and scope measurable proof-of-value engagements for federal missions.
• Deploy the platform in connected and air-gapped environments; build integrations and AI demonstrations using SDKs and APIs.
• Deliver demonstrations, architecture sessions, written materials, and technical feedback to customers and internal teams.

What they ask for

• 5+ years in solutions architecture, solutions engineering, applied AI engineering, or a similar customer-facing technical role, including direct support of federal customers.
• Fluency in Python and familiarity with modern AI technologies, including model formats and inference, LLM APIs, retrieval and agentic patterns, and frameworks such as PyTorch, Hugging Face, and ONNX.
• Hands-on experience with Docker, Kubernetes, Helm, and moving artifacts into restricted or disconnected environments.
• Understanding of MLOps, CI/CD, AI security concepts, and federal mission outcomes.

Nice to have

• Active Top Secret or TS eligible clearance is strongly preferred.
• Production AI/ML security or classified AI experience; AI red-teaming; relevant certifications; or public technical work.

Tools

Python, PyTorch, Hugging Face, ONNX, Docker, Kubernetes, Helm, AWS

AI focus

Support federal adoption of AI securely by demonstrating AI workload attacks and defenses, protecting models and applications from model scanning in CI/CD through runtime detection and response, and advising on adversarial AI risks.