AI Solutions Architect

Role Summary:

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.

Support requirements identification and shaping partnering with capture and product teams to identify emerging mission requirements early and shape them ahead of a formal solicitation.

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.

Support RFPs with demos and documentation building demo assets and writing the technical narrative and supporting documentation that go into RFP and RFI 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.

Feed customer feedback to product teams feeding mission requirements and field insight back to product and engineering to shape what Console becomes.

Partner with strategic pursuit teams working closely with Sales, Proposals, Partnerships, and other strategic teams to align technical strategy with the broader pursuit.

Qualifications:

6+ years in a deeply technical role — AI Solutions Architect, Sales Engineer, Forward Deployed Engineer, or a software engineering / technical product role — with meaningful hands-on engineering or product depth.

Strong proficiency in at least one of: data migration (ETL, SQL, Python/JavaScript), REST APIs and webhook integrations, or cloud platforms (AWS, Azure) and database management.

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.

Who We're Looking For

We are building an elite strike team to win the defense AI market — conceptual, driven, deeply technical operators. The Console AI Solutions Architect is where mission requirements become demonstrated capability: the person who translates the problem, works with forward engineering to build the proof, and shows the customer what Console can do. This is a rare chance to build defense AI capability at the ground floor of a market we are creating.