AI Solutions Architect - Console, Department of Defense ›

Responsibilities:

• Gather and translate mission requirements working with DOD customers and Account Executives to turn ambiguous operational problems into clear, buildable technical requirements and use cases.
• Configure and build against development requirements standing up Console demo environments tailored to specific mission use cases — going well beyond a fixed demo script to prove the capability the customer actually needs.
• Partner directly with forward engineering supporting and directing the engineering effort that builds demo environments and prototype capability, and serving as the bridge between customer need and what gets built.
• Demonstrate capability to technical and operational evaluators running credible, mission-relevant demonstrations that show Console solving the problem in the customer's context.
• Serve as the technical advisor throughout the pursuit answering deep technical questions, resolving roadblocks, and supporting technical validation, security questionnaires, and the technical portions of responses.
• Work hand in hand with Account Executives providing the technical proof that moves defense deals past evaluation and into pilot or production.
• Reason about architecture, data, and AI systems advising on how Console integrates and operates within the customer's environment, including classified and air-gapped constraints.
• Act as the voice of the customer feeding mission requirements and field insight back to product and engineering to shape what Console becomes.

Qualifications:

• 6+ years in a deeply technical role — Sales Engineer, Solutions Architect, Forward Deployed Engineer, or a software engineering / technical product role — with meaningful hands-on engineering or product depth.
• Demonstrated ability to configure and build against development requirements — you can turn a use case into a working, demonstrable solution, not just present a fixed demo.
• Experience translating ambiguous, mission-driven problems into clear technical requirements that an engineering team can build against.
• Strong technical foundation: the ability to reason about architecture, data, integration, and AI/LLM systems, and to work credibly alongside engineers.
• Experience building or deploying systems powered by LLMs or generative/agentic AI, and an understanding of how model behavior shapes the solution.
• Deep understanding of the DOD/national-security customer — how mission owners and program offices operate — and the ability to speak their language.
• Comfort operating in a fast-moving, development-driven environment, working directly with forward engineering and Account Executives.
• A conceptual, driven, deeply technical operator who can move from requirement to demonstrated capability fast.