About ClearedMatch.ai
We match security-cleared AI/ML and Data Science professionals with the US Government Contracting programs that need them — Secret and above, US persons only, the whole arena and nothing else.
Why we exist
Almost nobody holds both an active clearance and real machine-learning depth — yet every AI line item in a government contract needs someone who does. General job boards drown that person in noise. ClearedMatch.ai serves only the intersection: recruiting expertise from inside the mission-critical GovCon arena, paired with AI-native sourcing technology.
A U.S. Coast Guard Veteran, Layton has spent 20+ years recruiting for mission-critical programs in the Government Contracting arena and the private sector, delivering top-tier talent across AI/ML & Data Science, emerging technology, cybersecurity, semiconductors, DevOps/cloud, and technical leadership.
A Certified AI Sourcing Recruiter, UiPath-certified Business Analyst, and Social Media Intelligence Expert, he pioneered AI-assisted methods for engaging passive, hard-to-find talent — including the cleared engineers who never touch a job board. His placements span deep learning pioneers, agentic-AI software engineers, computer-vision experts, drone architects, and cleared cybersecurity SMEs across defensive, offensive, and intelligence domains.
He pairs that recruiting record with formal training in decision theory and decision-making under stress (graduate study at Portland State University; B.S. Psychology, George Fox University) — the science of judging who will actually perform on high-stakes programs.
Jordan is a Senior Director of Engineering at UiPath with seven years leading enterprise AI and automation products used by some of the world's largest organizations.
His teams build the AI systems this platform's matching is judged against: context grounding and hybrid RAG (bringing enterprise data safely into generative AI), agentic document processing with precise citations, conversational agents, agent episodic memory (autonomous agents that learn from feedback), and advanced agent harnesses for long-running, large-context AI work.
At ClearedMatch.ai he guides the technical architecture — the AI-driven sourcing, screening, and matching engine under the hood.