Senior AI Architect
GE Vernova · Greenville, SC
$113,200–$188,800from the description
Jul 10, 2026
Greenville, SC
Jul 21, 2026
What this job asks for AI summary
A senior technical authority role focused on defining and maintaining enterprise-wide AI reference architectures, design standards, and reusable solution patterns for an industrial wind engineering organization. Day-to-day work spans conducting architecture reviews of subsystem AI solutions, establishing MLOps and toolchain standards, embedding AI practices into engineering quality management systems, and mentoring a distributed community of embedded AI architects. Best suited to someone with deep hands-on AI/ML engineering experience who has progressed into portfolio-level architecture responsibilities.
Senior level · National · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 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
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $119,144 (middle half $81,115–$160,963). 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)
No specific location is stated in the posting beyond 'U.S. based position'; CBSA is left blank. The geographic differential language (110%/120%/130%) suggests the role may be tied to specific GE Vernova sites, but none are named.
The JD states no overall years-of-experience figure — only 'significant hands-on experience … with demonstrated progression to enterprise-level architecture responsibilities.' No numeric floor is given, so the overall years minimum is left unset.
SOC classification is genuinely ambiguous: the role is primarily an enterprise AI Architect setting standards and reference architectures (closest to 15-1299 Computer Occupations, All Other / Solutions Architect) but has heavy ML/AI engineering depth that could map to 15-2051 Data Scientists. 15-1299 was chosen as the primary because the dominant day-to-day work is architecture definition, standards governance, and technical oversight rather than hands-on modeling.
A Bachelor's degree in Engineering, CS, Applied Mathematics, Data Science, or related field is explicitly required; an advanced degree is 'strongly preferred' but not hard-gated.
Cloud platform (AWS, Azure, or GCP) is listed under Required Qualifications as 'cloud AI infrastructure (AWS, Azure, or GCP)' — treated as a hard gate on cloud AI capability with AWS as primary and Azure/GCP as named alternatives.
ARC Foundry, AMP, and GE Vernova enterprise AI platforms appear only under Desired Characteristics and are not emitted as required skills.
Agentic AI frameworks (n8n, LangGraph, CrewAI) appear under Desired Characteristics; LangGraph is used as the primary name with the others as alternatives.
The compensation range note states a geographic differential of 110–130% may apply on top of the base range, so actual pay could exceed the stated maximum.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): time-series analysis, physics-informed modeling.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.