Senior Delivery Consultant - AI/ML, AWS Professional Services at Amazon
Atlanta, GA
$153,600–$239,000from the description
Jul 22, 2026
Atlanta, GA
Jul 23, 2026
What this job asks for AI summary
A customer-facing consulting role in which the engineer leads end-to-end AI/ML and generative AI engagements for enterprise clients — covering solution architecture, data pipeline design, model development, deployment, and ongoing monitoring on AWS. The work spans hands-on technical delivery and advisory responsibilities, including gathering requirements, guiding cloud adoption strategy, and sharing best practices internally. It suits experienced ML practitioners with a background in both software engineering and client-facing project work.
Senior level · 7+ years · Seattle, WA · 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
Roughly 15 people in the Seattle, WA area plausibly meet what this posting asks for (data scientists). range 9–25
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.
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 (8)
The role is posted across multiple US metros (Mountain View, San Francisco, Atlanta, Chicago, Jersey City, New York, Austin, Dallas, Herndon, Seattle); Seattle is used as the representative CBSA. Compensation ranges vary by location: $153,600–$207,800 in lower-cost markets and up to $176,600–$239,000 in higher-cost markets (CA, NY, NJ).
The Basic Qualifications list two separate degree statements: 'Bachelor's degree, or 7+ years of professional or military experience' and 'Bachelor's degree in computer science, engineering, mathematics or equivalent.' Because one path explicitly accepts equivalent experience in lieu of a degree, the degree requirement is set to Bachelors as the minimum formal degree stated, but candidates with equivalent experience are also eligible per the posting.
The role title is 'ML Engineer / Delivery Consultant' with no seniority level in the title, hence the title states no level. However, the requirements (7+ years consulting, 5+ years leading technical teams, end-to-end ML project ownership) firmly support a Senior-level classification.
SOC classification is ambiguous between Data Scientists (15-2051) and Software Developers (15-1252). The role centers on ML model development, predictive modeling, NLP, and deep learning (pointing to 15-2051), but also involves substantial software engineering, MLOps pipeline building, and cloud architecture (pointing to 15-1252). Data Scientists is chosen as primary given the explicit ML/AI modeling focus.
The database skill requirement lists SQL, NoSQL, Hadoop, Spark, Kafka, and Kinesis as a group ('e.g.'). These are treated as alternatives under a single must-have gate since the JD presents them as a single 5-year experience requirement.
Automation tools (Terraform, Python, CloudFormation/CDK) and GenAI technologies (LLMs, LangChain, vector stores) appear only under Preferred Qualifications.
The posting mentions travel to customer sites; this is a customer-facing consulting role and is not remote.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): ML model development, predictive modeling.
Read the full posting
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