Delivery Consultant- AI/ML, WWPS ProServe at Amazon
Denver, CO
$131,300–$204,300from the description
Jun 30, 2026
Denver, CO
Jul 21, 2026
What this job asks for AI summary
A consulting-style engineering role embedded within a professional services team, working directly with enterprise customers to design, build, and deploy machine learning and generative AI solutions on AWS. Day-to-day work spans scoping use cases, selecting and fine-tuning models, developing proofs-of-concept, running experiments, and guiding customers through implementation. Suits engineers with hands-on ML experience who are comfortable bridging technical delivery and client-facing advisory work. US citizenship is required.
Mid level · 3+ years · Seattle-Tacoma-Bellevue, WA · Full-time
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 210 people in the Seattle-Tacoma-Bellevue, WA area plausibly meet what this posting asks for (data scientists). range 160–280
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $168,363 (middle half $111,131–$214,996). 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 spans multiple US locations (Seattle/Bellevue WA, Mountain View/San Francisco CA, Denver CO, Jersey City NJ, New York NY, Austin TX, Arlington/Herndon VA); Seattle is used as the primary CBSA since it is the canonical AWS headquarters location. Compensation ranges vary by location: $131,300–$177,600 (most locations) to $151,000–$204,300 (CA locations) and $144,500–$195,400 (NY/NJ locations).
The posting requires US citizenship ('This position requires that the candidate be a US citizen'), but does not gate on a formal security clearance — no clearance level is named.
The role is classified as Data Scientists (15-2051) rather than Software Developers (15-1252) because the primary day-to-day work centers on ML/statistical modeling, GenAI model selection and fine-tuning, and quantitative analysis; however, the strong software engineering and deployment requirements make 15-1252 a credible runner-up.
The Basic Qualifications state '3+ years of machine learning/statistical modeling data analysis tools and techniques' — this is used as the overall years minimum at the role level, as it is the broadest experience gate. The '2+ years of cloud architecture' requirement is captured on the AWS skill.
A Master's degree in STEM is listed under Preferred Qualifications only, so the degree requirement is set to None.
Seniority is assessed as Mid: the minimum experience gates (2–3 years) and the absence of any 'Senior' or 'Lead' title framing support a mid-level band, despite the customer-facing consulting scope.
'Quantitative analysis' and 'statistical modeling' are retained as skills because they represent concrete, testable analytical competencies explicitly called out as requirements, not generic soft skills.
'Model fine-tuning' and 'generative AI benchmarking' are explicitly called out in the Basic Qualifications as hard gates; 'model fine-tuning' is captured as a skill and 'LLMs' covers the GenAI model performance benchmarking requirement.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): quantitative analysis, cloud architecture.
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.