AI Solutions Engineer
Amentum · Chantilly, VA
$170,000–$210,000from the description
Jul 12, 2026
Chantilly, VA
Jul 21, 2026
What this job asks for AI summary
This role centers on building and deploying AI and machine learning applications to improve predictive maintenance programs for a facilities operation in a classified government setting. The engineer will analyze equipment data, develop anomaly-detection and failure-forecasting models, and work alongside facilities managers, engineers, and IT staff to integrate those tools into existing workflows. A Top Secret clearance and prior hands-on AI/ML delivery experience are central requirements.
Senior level · 5+ years · Washington-Arlington-Alexandria, DC-VA-MD-WV · Bachelor's required · Top Secret clearance · Full-time
“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
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). 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 (10)
The role title is 'AI Solutions Engineer' but the primary day-to-day work centers on building, training, and deploying ML/predictive-analytics models — closer to Data Scientist (15-2051) than pure software development (15-1252), though the boundary is genuinely blurry; alt SOC reflects that ambiguity.
The clearance requirement is stated as 'Active United States Government Top Secret Security Clearance' — no SCI or polygraph is mentioned, so this is coded as TopSecret rather than TopSecretSci.
The 5+ years figure is the overall software/AI delivery experience gate; the 2+ years figure is specific to applied AI/ML or LLM systems and is captured on those skills.
Python, R, and Java are listed together as interchangeable language options under Required Qualifications; Python is named first and is the canonical choice, with R and Java as alternatives.
Cloud platforms (AWS, Azure, Google Cloud) appear under Required Qualifications but are framed with 'familiarity with' — a softening qualifier — so they are treated as preferred rather than a hard gate.
IoT/sensor data integration is explicitly called 'a strong plus' in the required section, and experience in high-security environments is 'highly desirable' — both treated as preferred.
All items under Preferred Qualifications (IBM Maximo, air-gapped deployment, human-in-the-loop, EAM/CMMS, advanced statistics, Agile/Scrum certifications, facilities operations familiarity) are preferred.
The role is on-site in Chantilly, VA (3–5 days/week in a classified setting); remote=false.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): air-gapped model deployment.
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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