Delivery Consultant- AI/ML, WWPS ProServe Delivery Team at Amazon
Atlanta, GA
$131,300–$195,400from the description
Jun 30, 2026
Atlanta, GA
Jul 21, 2026
What this job asks for AI summary
A client-facing machine learning engineering role within AWS's professional services arm, working directly with enterprise customers to design, build, and deploy AI and generative AI solutions on AWS. Day-to-day work spans scoping high-value use cases, selecting and fine-tuning models, running experiments, and guiding customers through technical challenges. Suits engineers with hands-on ML and cloud architecture experience who are comfortable bridging technical depth with stakeholder communication.
Senior level · 3+ years · Dallas-Fort Worth-Arlington, TX · Full-time
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
Roughly 190 people in the Dallas-Fort Worth-Arlington, TX area plausibly meet what this posting asks for (data scientists). range 80–280
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 $130,559 (middle half $92,500–$149,977). 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 (8)
The role is posted across 10 US metro areas (Denver, Atlanta, Chicago, Jersey City, New York, Austin, Dallas, Houston, Arlington VA, Herndon VA); Dallas-Fort Worth is used as the representative CBSA. Compensation ranges vary by location: $131,300–$177,600/yr for most cities, and $144,500–$195,400/yr for New York and Jersey City.
The posting requires US citizenship ('This position requires that the candidate be a US citizen'), but does not gate on a formal security clearance.
The overall years minimum is set to 3 (the highest role-level floor stated: '3+ years of machine learning/statistical modeling…'). The '2+ years of cloud architecture' requirement is a separate, lower floor.
A Master's degree or above in STEM is listed under Preferred Qualifications only, so the degree requirement is set to None.
The role blends ML/data science work (model selection, fine-tuning, experiments, generative AI) with professional software engineering and cloud architecture; 15-2051 Data Scientists is the primary classification given the ML/GenAI modeling emphasis, with 15-1252 Software Developers as a close runner-up given the engineering depth required.
'GenAI benchmarking' and 'model fine-tuning' are named as distinct required competencies in the Basic Qualifications ('Experience in defining and creating benchmarks for assessing GenAI model performance' and selecting/fine-tuning models). These are listed as skills because they represent concrete, assessable technical capabilities called out explicitly as gates.
AWS-specific services (compute, storage, networking, databases, serverless, SageMaker) appear under Preferred Qualifications and are marked accordingly.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): quantitative analysis, cloud cost optimization.
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.