AI/ML Engineer (R-00194) at True Zero Technologies
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Aug 13, 2026
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Sep 24, 2026
What this job asks for AI summary
This role involves designing, building, and operating AI/ML capabilities within secure government cloud environments, specifically AWS GovCloud using FedRAMP-authorized services. The engineer will cover the full AI/ML lifecycle — from data preparation and model training through deployment, evaluation, and monitoring — with a particular emphasis on Generative AI, RAG architectures, and LLM integration. It suits a Python-proficient engineer with hands-on experience in both traditional ML and modern foundation-model workflows in regulated or government settings.
Senior level · Washington-Arlington-Alexandria, DC-VA-MD-WV · Bachelor's required · Full-time
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How this req sits in the market our data
Roughly 45 people in the Washington-Arlington-Alexandria, DC-VA-MD-WV area plausibly meet what this posting asks for (data scientists). range 15–65
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.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $135,107 (middle half $108,024–$176,763).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 15, 2026. It is a model, not a headcount.
Why we read it this way (6)
The role blends deep software engineering (Python, CI/CD, microservices) with AI/ML science (model training, RAG, LLM evaluation), making it a genuine hybrid between 15-2051 Data Scientists and 15-1252 Software Developers; 15-2051 was chosen because the primary deliverables are AI/ML models and evaluation frameworks rather than general application software.
No explicit years-of-experience requirement is stated at the role level; seniority was inferred as Senior from the breadth of responsibilities (full lifecycle ownership, architecture design, cross-team collaboration, security compliance) rather than a stated number of years.
The posting does not specify a work location beyond the company's Mid-Atlantic/DC-area presence and government cloud context; remote status is set to false as no remote option is mentioned.
MLOps and LLMOps are listed together under 'Familiarity with' (a softer qualifier) in the qualifications section and are treated as preferred.
AWS certification preferences are listed under 'Preferred Certifications' and are therefore not hard gates.
The posting mentions experience in 'government, defense, regulated, or other security-sensitive environments' as a qualification but names no specific clearance as a requirement; the clearance requirement is set to None.
Read the full posting
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