Senior Staff Engineer - AI Engineering at GE Vernova
Cambridge, MA
$113,200–$188,800from the description
Jul 28, 2026
Cambridge, MA
Sep 24, 2026
What this job asks for AI summary
This role sits within GE Vernova's AI Foundry team and focuses on prompt engineering for large language models across a range of internal and external business use cases in the energy sector. The engineer will design, test, and refine LLM prompts, help build a reusable prompting framework, and integrate LLM solutions into applications alongside software developers. It suits an experienced AI/ML practitioner comfortable bridging technical work and non-technical stakeholders.
Senior level · 8+ years · Albany-Schenectady-Troy, NY · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 3 times — it's one opening, so apply once.
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 60 people in the Albany-Schenectady-Troy, NY area plausibly meet what this posting asks for (software developers). range 35–95
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
What the occupation pays Median $130,723 (middle half $99,021–$164,663). 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 Aug 1, 2026. It is a model, not a headcount.
Why we read it this way (5)
The posting lists two primary work locations — Niskayuna, NY and Cambridge, MA — as hard requirements ('must be willing to work out of an office'). The CBSA is reported as Albany-Schenectady-Troy, NY (the Niskayuna site), which is the anchor research center; Cambridge, MA candidates face a required three-month onboarding residency there.
The title 'AI Engineer' carries no explicit seniority level, but the 8+ years requirement and the 'Senior talent' framing in the onboarding residency language support a Senior classification.
All skills beyond LLM/prompt engineering experience appear under the 'Ideal Candidate Characteristics' section, which functions as a preferred/nice-to-have block rather than a hard gate — including Python, PyTorch, Pandas, NumPy, Git, and OpenAI/Hugging Face tools.
The SOC classification is a genuine judgment call: the role is primarily about building a prompt-engineering framework and integrating LLM solutions (software development work, 15-1252), but it also has a research and data-science flavor (15-2051). 15-1252 was chosen because the core deliverable is software/framework construction, not statistical modeling.
The posted salary range ($113,200–$188,800/year) may be further adjusted by a geographic differential of 110%, 120%, or 130% depending on location, per the posting.
Read the full posting
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