AI/ML Engineer, Gateway
Amazon · Seattle, WA
$143,700–$194,400from the description
Jul 7, 2026
Seattle, WA
Jul 21, 2026
What this job asks for AI summary
A software engineering role on Amazon's Advertiser Growth Tech team, focused on building agentic AI and machine learning systems that support advertiser-facing marketing channels. Day-to-day work spans designing and deploying end-to-end AI/ML pipelines, building multi-agent applications, and contributing to architectural decisions. Suits engineers with a solid background in software development and foundational knowledge of machine learning and large language models.
Mid level · 3+ years · Seattle-Tacoma-Bellevue, 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 1,950 people in the Seattle-Tacoma-Bellevue, WA area plausibly meet what this posting asks for (software developers). range 1,450–2,550
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.
What the occupation pays Median $170,959 (middle half $135,720–$216,519). 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 (7)
The role sits at the intersection of software engineering and ML/AI; the primary day-to-day work is building production software systems (multi-agent apps, AI/ML pipelines), so 15-1252 Software Developers was chosen over 15-2051 Data Scientists, though the ML depth makes it a genuine borderline case.
The title carries no seniority level. The hard requirements gate on only 3+ years of professional experience and 2+ years of design/architecture experience, which maps to Mid-level; the narrative mentions working 'alongside experienced Senior SDEs', further supporting a Mid classification despite the broad scope described.
Bachelor's degree in computer science is listed under Preferred Qualifications only, so the degree requirement is set to None.
Agentcore and Strands are listed together as the framework for building multi-agent applications in the responsibilities section (not a requirements gate), so they are marked preferred and treated as alternatives to each other.
'Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques' appears in Basic Qualifications and is treated as a hard gate; split into two skills (machine learning and LLMs) representing the two distinct capability areas named.
Compensation is quoted as a base salary range of $143,700–$194,400 annually for Seattle, WA; the posting notes the package also includes sign-on payments and RSUs.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): software development, system design.
Read the full posting
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