AI Engineer - Software at General Dynamics Electric Boat
Groton, CT
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Jul 22, 2026
Groton, CT
Jul 25, 2026
What this job asks for AI summary
An AI engineering role focused on building and deploying machine learning models, end-to-end ML pipelines, and autonomous AI agents within a defense-sector technology group. Day-to-day work spans data wrangling, model development, integration with internal systems and APIs, and prototyping emerging approaches such as LLMs, RAG pipelines, and multi-agent systems. Suits an experienced practitioner comfortable bridging applied research and production deployment.
Senior level · 5+ years · New London-Norwich, CT-RI · Bachelor's required
“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 1 people in the New London-Norwich, CT-RI area plausibly meet what this posting asks for (data scientists). range 1–1
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 $104,182 (middle half $89,005–$136,006).
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 (6)
Electric Boat is headquartered in Groton, CT; the posting names no specific city but the company's primary site is in the New London-Norwich, CT-RI CBSA.
The degree requirement is a hard gate: 'Bachelor's of Science degree or Master's degree in Computer Science, Data Science, or AI Engineering' — equivalent experience is not offered as a substitute, so Bachelors is the minimum.
All named technologies appear under the 'Preferred' section heading, so every skill is marked preferred rather than required. The only hard gates are the degree and 5+ years of post-graduate experience.
The role blends ML/data science (model development, statistical modeling, LLMs) with software engineering (pipelines, agents, APIs), making the SOC classification a genuine judgment call between Data Scientists (15-2051) and Software Developers (15-1252). The emphasis on model development, research, and emerging AI techniques tips the balance toward 15-2051.
Containerization technologies are mentioned generically; Docker and Kubernetes are listed as representative alternatives.
'Multi-agent systems' and 'generative models' are mentioned in the responsibilities narrative but no specific named tool or platform is cited beyond LLMs and RAG, so no additional skill entries were created for those concepts.
Read the full posting
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