AI Engineer - ICAM
General Dynamics Information Technology · Fairfax, VA
$146,200–$197,800from the description
Jul 24, 2026
Fairfax, VA
Jul 25, 2026
What this job asks for AI summary
This role involves designing, building, and deploying AI and machine learning solutions for an enterprise Identity, Credential, and Access Management (ICAM) program within a federal defense environment. Day-to-day work spans developing predictive analytics, anomaly detection, LLM and RAG implementations, and integrating AI capabilities into existing ICAM platforms. It suits an experienced AI/ML practitioner comfortable working with government security requirements and holding an active Secret clearance.
Senior level · 5+ years · Remote · 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
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 $122,874 (middle half $87,544–$162,374). 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 (9)
The role title is 'AI Engineer' with no seniority level in the title; the title states no level. The 5-year experience requirement and full-lifecycle ownership of enterprise AI initiatives support a Senior classification.
SOC is a genuine toss-up: the role spans ML/data science work (model training, predictive analytics, anomaly detection) and software engineering (designing, developing, and implementing AI solutions into enterprise platforms). Data Scientists (15-2051) is chosen as primary given the emphasis on ML modeling, statistical analysis, and analytics; Software Developers (15-1252) is the close runner-up given the implementation and integration emphasis.
A Bachelor's degree is listed as required, but the JD explicitly states '4 years of experience may be substituted in lieu of degree,' so the degree requirement is set to None per extraction rules.
CompTIA Security+ is listed as required but with a 60-day post-hire grace period to obtain it if not already held — it is still treated as a hard gate on the role.
Azure AI Services is listed under 'Familiarity with … or equivalent AI platforms,' placing it in a softer context; marked as preferred. Azure OpenAI, AWS Bedrock, and OpenAI are captured as alternatives since they are explicitly named as interchangeable options in the same clause.
The ML library requirement names TensorFlow, PyTorch, Scikit-learn, and Hugging Face as interchangeable options ('or equivalent'); emitted as one skill with alternatives per the interchangeable-options rule.
Prompt engineering is mentioned alongside LLMs and RAG in the same required bullet; it is a technique rather than a named tool and is not emitted as a standalone skill.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): predictive modeling.
Requires a 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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