Principal Applied AI SA, Software, AI, and Technology (Digital Native) at Amazon
Seattle, WA
$210,200–$284,300from the description
Jul 10, 2026
Seattle, WA
Jul 21, 2026
What this job asks for AI summary
A customer-facing technical role focused on helping large enterprise and technology companies design and deploy generative AI and agentic AI systems on AWS. Day-to-day work involves architecting solutions around foundation models, multi-agent systems, RAG pipelines, and governance frameworks, then translating those into reference patterns, workshops, and thought leadership. Suits a hands-on applied AI practitioner comfortable engaging with both engineering teams and executive stakeholders.
Senior level · 10+ years · San Francisco-Oakland-Berkeley, CA · 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 10 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (computer systems analysts). range 2–20
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 $137,417 (middle half $106,757–$174,454). 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)
SOC classification is a genuine judgment call: the role is titled 'Solutions Architect' and is primarily customer-facing technical advisory (systems analysis, architecture design, evangelism) rather than hands-on software development, which points to 15-1211. However, the JD also emphasizes hands-on production AI system building, so 15-1252 is a credible alternative.
The Basic Qualifications list 'Bachelor's degree in computer science, engineering, mathematics or equivalent' — because equivalent experience is explicitly accepted, this is treated as no hard degree requirement.
Generative AI, agentic AI, LLM customization/fine-tuning, inference optimization, RAG, vector stores, prompt engineering, agentic frameworks (Strands Agents SDK / LangGraph / CrewAI), and AI security all appear in the main descriptive body as explicit hands-on requirements the role is built around, and are reinforced by the 'We're looking for people with deep, hands-on experience' framing — treated as hard gates.
AWS-specific services (Amazon Bedrock, Bedrock AgentCore, SageMaker, Amazon Q Developer, Trainium, Inferentia) are explicitly called out as 'a plus, but not required' or appear only in the preferred/nice-to-have framing, so they are marked preferred.
Distributed systems, workflow automation, and database design appear only under Preferred Qualifications.
The posting mentions 'Amazon Quick' and 'Kiro' as AWS applied AI services — these appear to be either internal/unreleased products or typos; they are omitted from the skills list as they are not canonically identifiable tools.
Location is listed as San Francisco, CA with a stated annual salary range of $210,200–$284,300 USD, plus sign-on and RSUs.
Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): inference optimization, workflow automation, database design.
Read the full posting
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