AI Engineering & Platform Leadership Senior Manager - Utilities at Accenture
Arlington, VA
$112,900–$338,300from the description
Jul 14, 2026
Arlington, VA
Jul 21, 2026
What this job asks for AI summary
A senior technical leadership role focused on designing and delivering large-scale enterprise AI platforms for Resources and Utilities sector clients, working across multiple cloud providers and model vendors. Day-to-day responsibilities include setting reference architectures and engineering standards for LLMOps, AI security, and cost governance, while directing multiple engineering teams. The role suits a seasoned AI/ML architect with deep hands-on experience in generative and agentic AI deployment and some background in the utilities industry.
Senior level · 10+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 6 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 110 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (computer occupations, all other). range 20–160
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $129,701 (middle half $84,324–$174,781). 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 is posted across many US states with no single primary location; New York/New Jersey is used as the representative metro given it carries the highest salary ceiling, but the role is effectively multi-location and travel can reach 100%.
The JD accepts a Bachelor's degree OR equivalent work experience (minimum 12 years), so no formal degree is hard-gated.
The 10-year overall experience floor is the highest stated role-level requirement ('minimum of 10 years in software or AI/ML engineering'); the 6-year LLM platform requirement is captured on the LLMs skill.
OpenAI and Anthropic are listed together as example model providers; they are treated as interchangeable examples of the same requirement rather than two separate gates.
AWS, Azure, and GCP are all explicitly named as required cloud ecosystems across multiple hard-requirement bullets; each is listed as a separate must-have skill.
Cloud architecture/AI engineering certifications and a Master's degree appear under 'Bonus Points If You' — the posting's explicit preferred/nice-to-have section.
SOC 15-1299 (Computer Occupations, All Other) is used because this role is primarily an enterprise AI platform architect/LLMOps leader — a specialization not cleanly captured by 15-1252 (Software Developers) or 15-2051 (Data Scientists). 15-1252 is noted as the closest runner-up.
Minimum 1 year of utilities industry experience is a hard gate per the requirements section but names no specific technology or tool, so it is not emitted as a skill.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): multi-cloud architecture.
Read the full posting
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