Enterprise Capabilities Architect – Digital Transformation, AI, and Data Architect at Peraton
Reston, VA
$190,000–$304,000from the description
Jun 30, 2026
Reston, VA
Jul 21, 2026
What this job asks for AI summary
A senior technical leadership role focused on shaping and winning federal contracts in digital modernization, AI/ML, and data architecture. The position sits within a corporate growth function, working alongside capture and proposal teams to design reusable service offerings, author solution narratives, and build competitive positioning materials. It suits a deeply experienced architect with a federal contracting background who is comfortable operating at the intersection of technical strategy and business development.
Senior level · 16+ years · National · Bachelor's required · Top Secret clearance · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $119,144 (middle half $81,115–$160,963). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
No work location is specified in the posting. Peraton is headquartered in Herndon, VA, but the JD names no city, state, or remote policy — location is genuinely unknown.
The role is a hybrid of enterprise architecture, AI/data strategy, and pre-sales/capture work. No single SOC code fits cleanly; 15-1299 (Computer Occupations, All Other) is used as the best available catch-all, with 15-2051 (Data Scientists) as the runner-up given the heavy AI/ML architecture emphasis.
The clearance gate is stated as 'ability to obtain a Top Secret security clearance' (required), while an active TS/SCI with Polygraph eligibility is listed under Desired Qualifications.
The experience floor is 16+ years with a Bachelor's, 14+ with a Master's, or 10+ with a PhD — 16 is used as the overall years minimum per the minimum stated.
DMBoK, DCAM, FAIR Data Principles, and COBIT are listed together in a single required bullet; all four are marked required as they appear under Required Qualifications with 'and/or' language indicating familiarity with at least some is expected.
The AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, Azure AI Engineer, and CDMP certifications are grouped together under Desired Qualifications and are treated as interchangeable preferred credentials.
Ignored 4 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI/ML platform architecture, API-first architecture, FAIR Data Principles, AWS Machine Learning Specialty.
Requires a Top Secret clearance — the cleared population is a small fraction of this occupation, so the real candidate pool is materially smaller than the estimate below, which does not model clearance.
Read the full posting
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