Herndon, VA

Salary
Posted
Jun 29, 2026
Location
Herndon, VA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A hands-on technical lead role focused on designing and building AI/ML solutions for US federal government agencies. Day-to-day work spans engineering RAG pipelines, fine-tuning LLMs, architecting hybrid integrations between legacy government systems and modern cloud-native AI platforms, and guiding ATO compliance processes. The role also involves presenting technical strategies to senior agency executives and contributing to federal proposal efforts. Suits an experienced federal IT architect comfortable operating at both the code and C-suite levels.

Senior level · 5+ years · Washington-Arlington-Alexandria, DC-VA-MD-WV · Full-time

Must have (11)
LLMsLangChain or LlamaindexRAGvector databasesPythonDockerKubernetesAWS GovCloud or Azure GovernmentFedRAMPNIST 800-53DevSecOps
Nice to have (1)
Milvus, Pinecone or Pgvector

“or” means any one of them counts — you don't need all of them.

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

Roughly 35 people in VA plausibly meet what this posting asks for (computer occupations, all other). range 15–55

Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.

What gives you an edge
FedRAMP3%NIST 800-534%LangChain6%vector databases6%RAG8%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Docker53%Python51%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $160,085 (middle half $128,934–$179,584).

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 (7)

The role is a hybrid AI Solutions Architect / Technical Lead — it spans hands-on AI/ML engineering (LLMs, RAG, fine-tuning), enterprise architecture, and executive advisement. 15-1299 (Computer Occupations, All Other) is used because no single SOC cleanly covers this blend; 15-1252 (Software Developers) is the closest runner-up given the strong hands-on coding and prototyping emphasis.

The posting states 'Bachelor's degree … or equivalent experience,' so no hard degree gate is set.

No security clearance is explicitly required as a gate; the role involves air-gapped/high-security environments and federal compliance work, but the JD does not state candidates must hold or obtain a clearance.

The 5+ years figure is tied to executive-presence/SME experience ('5+ years of experience acting as a technical SME, presenting … to SES-level executives'), which is the only explicit role-level experience number stated.

Specific vector database products (Milvus, Pinecone, pgvector) are listed as examples ('e.g.') within the required qualifications section; the hard gate is on vector database expertise broadly, so the named products are captured as preferred alternatives rather than individual hard gates.

The role is hybrid (Herndon, VA office + remote engineering), not fully remote.

No compensation figures are provided in the posting.

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