AI/ML Specialist Solutions Architect, Enterprise, AGS US Specialist SA at Amazon
Atlanta, GA
$131,300–$204,300from the description
Aug 14, 2026
Atlanta, GA
Sep 25, 2026
What this job asks for AI summary
A customer-facing GenAI/ML Solutions Architect role at AWS, serving as a subject-matter expert overlay to field sales teams across the United States. The position involves designing and architecting generative AI and machine learning solutions — including RAG pipelines, agentic AI workflows, and production inference systems — using Amazon Bedrock, SageMaker, and the broader AWS AI/ML portfolio. It also includes thought leadership activities such as writing blogs, building reference architectures, and presenting at AWS events.
Mid level · 4+ years · Seattle, WA · Full-time
“or” means any one of them counts — you don't need all of them.
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 35 people in the Seattle, WA area plausibly meet what this posting asks for (computer systems analysts). range 10–55
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $136,630 (middle half $104,447–$169,017). 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 18, 2026. It is a model, not a headcount.
Why we read it this way (6)
The posting lists multiple US cities with different salary bands; the range reported ($131,300–$204,300) spans the full set of locations. Individual city ranges: East Palo Alto CA $151K–$204K, New York NY $144.5K–$195.4K, and all others $131.3K–$177.6K.
The Basic Qualifications require only 4+ years in a broad technology domain and 2+ years of design/implementation/consulting — a relatively low bar for a role with deep GenAI/ML expectations. The seniority assessment reflects the stated minimums rather than the aspirational scope.
The role is not fully remote; travel of 20–30% is mentioned and the posting lists specific office locations. However, the posting does not explicitly state an in-office requirement, so remote status is marked false given the multi-city office listings and travel expectations.
SOC classification is a genuine judgment call: the role is primarily customer-facing solution architecture and technical consulting (15-1211), but the depth of ML/AI technical work could also support 15-2051 (Data Scientists). 15-1211 was chosen because the primary day-to-day work is designing and advising on architectures, not building or training models.
Deep learning and mathematics/statistics background are described as 'preferred' in the posting body; they are marked accordingly.
Agent frameworks and orchestration frameworks are mentioned as ecosystem knowledge the candidate 'should be familiar with' but no specific named framework (e.g., LangChain) is called out, so no separate skill entry was created beyond the named AWS services.
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