AI Workflow Engineer

Build The Agentic Software Factory

AI is rewriting how software gets built and most organizations are still bolting chatbots onto yesterday's process. We're doing something different. UKi is looking for an AI Workflow Engineer to architect our agentic SDLC from the ground up: formalized pipelines where AI agents plan, build, test, review, and ship alongside a core team of skilled senior US-based engineers, with the governance, grounding, and measurement to prove it works.

This isn't a research role and it isn't prompt tinkering. You'll be designing the delivery system itself the workflows, guardrails, and feedback loops that let a high-performing team move dramatically faster without sacrificing the engineering excellence we practice every day. Your work will directly accelerate a mission that matters: delivering workforce readiness to the nation's cyber warfighters.

Agentic development is the biggest shift in how software gets built since continuous delivery itself. Very few teams get to design and own that transformation from the ground up, backed by senior engineers who want it to succeed, in service of a mission that protects the people defending the nation. If you've been waiting for the role where AI engineering meets real delivery discipline and real impact, this is it.

Since 1999, Ultimate Knowledge Institute has set the standard for cybersecurity training and readiness for the Department of Defense, federal agencies, and Fortune 500 companies. Today we're delivering a platform that builds and demonstrates true workforce and work-role readiness. Our platform identifies individual expertise gaps and builds adaptive, custom training plans to close those gaps for Federal U.S. Government, Defense, Intelligence Community, State/Local, and commercial customers. You'll be joining a newly forming AI engineering team inside a mature product engineering team, which means real users, real stakes, and a green field for how AI transforms the way we build.

What You'll Do

• Build our agentic SDLC pipeline. Design, implement, and operate agentic workflows across the development lifecycle - planning, code generation, review, testing, documentation, and release that is all integrated with our GitOps and CI/CD infrastructure.
• Level up developer experience. Bring modern AI integrations into the daily workflow of our engineering team: coding agents, automated review, intelligent test generation, and self-service tooling that removes friction and multiplies output.
• Engineer grounded, trustworthy systems. Build retrieval-grounded and context-aware AI systems that produce reliable, verifiable results and design the evaluation harnesses that prove it.
• Establish governance and guardrails. Define and implement the policies, human-in-the-loop checkpoints, audit trails, and security controls that let us adopt agentic AI responsibly in environments where trust is non-negotiable.
• Formalize and scale. Turn what works into repeatable frameworks, playbooks, and internal platforms that extend agentic acceleration beyond engineering to the whole organization.
• Champion the practice. Evangelize, teach, and support AI adoption across the team; you'll be a force multiplier, not a silo.

Agentic development is the biggest shift in how software gets built since continuous delivery itself — and very few teams get to design that transformation from a blank page, backed by senior engineers who want it to succeed, in service of a mission that protects the people defending the nation. If you've been waiting for the role where AI engineering meets real delivery discipline and real impact, this is it.