Snowflake Advanced AI Engineer, at Accenture
Kirkland, WA
$54,400–$205,800from the description
Aug 11, 2026
Kirkland, WA
Sep 24, 2026
What this job asks for AI summary
This role at Accenture's Global Agentic Center of Excellence involves designing, building, and operationalizing AI and ML solutions for enterprise clients across the full solution lifecycle — from assessing client needs and data through deploying production-ready models. The work spans custom deep learning and generative AI models, scalable MLOps/LLMOps pipelines, and Snowflake Cortex AI services, with a consulting-oriented, client-facing component that may require significant travel.
Mid level · 3+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 8 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 1,400 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (data scientists). range 420–2,150
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
What the occupation pays Median $138,970 (middle half $103,548–$176,968). 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 12, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role is listed across many US states with a wide salary range ($54,400–$205,800/year depending on location); the figures shown reflect the full cross-state span.
The minimum experience requirement is 3 years as an ML engineer/scientist, which anchors the overall years minimum; the Snowflake Cortex AI requirement of 2 years and the distributed computing/cloud requirements of 1 year each are additive sub-requirements within that overall experience.
A bachelor's degree is listed as required but the posting explicitly accepts 'equivalent (minimum 12 years) work experience' or an Associate's degree with 6 years of experience, so no formal degree is treated as a hard gate.
Python, TensorFlow/PyTorch, LLMs, C++, Java, R, and SQL all appear under the 'Bonus Points' (nice-to-have) section and are marked as preferred accordingly.
The role is classified as Data Scientist (15-2051) given its primary focus on ML model development, deep learning, and generative AI; Software Developers (15-1252) is a reasonable alternative given the strong engineering/MLOps pipeline emphasis.
No single CBSA is specified — the posting lists compensation ranges for California, Colorado, DC, Illinois, Maine, Maryland, Massachusetts, Minnesota, New York, New Jersey, Virginia, and Washington, indicating a multi-location or remote-eligible role. The CBSA is set to New York as a representative metro given the highest salary ceiling listed there.
Travel requirements are stated as 0–100% depending on client needs; the role is not described as fully remote.
Read the full posting
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