Sr. Prototyping Architect, AWS Prototyping and AI Customer Engineering (PACE) at Amazon
Seattle, WA
$153,600–$207,800from the description
Jul 9, 2026
Seattle, WA
Jul 21, 2026
What this job asks for AI summary
A hands-on prototyping role focused on building Generative AI and Agentic AI proofs-of-concept directly alongside enterprise customers, using AWS AI services such as Bedrock and SageMaker. Day-to-day work spans full-stack development, multi-agent system design, RAG architectures, and LLM integration, with some customer-facing advisory and thought leadership responsibilities. Suited to experienced engineers comfortable making architectural decisions quickly and shipping functional prototypes within tight timeframes, with roughly 25% travel expected.
Senior level · 7+ years · San Diego, 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 95 people in the San Diego, CA area plausibly meet what this posting asks for (software developers). range 40–140
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 $166,860 (middle half $131,418–$198,246). 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 (5)
The role is a hybrid of hands-on software development (building prototypes, writing production code) and technical advisory/consulting work; 15-1252 was chosen because the JD emphasizes coding, architectural decisions, and shipping working prototypes as the primary day-to-day activity. 15-1211 is a plausible runner-up given the customer-facing advisory and engagement framing.
The Basic Qualifications section is sparse — only 'knowledge of cloud architecture' and '7+ years of design, implementation, or consulting in applications and infrastructures experience' are listed as hard gates. All specific AI technologies (Bedrock, SageMaker, RAG, agents, etc.) appear in the role narrative and responsibilities sections rather than a formal requirements block; however, the core capabilities of Generative AI, LLMs, RAG, agentic AI, and prompt engineering are so central to the role's stated purpose that they are treated as hard gates. The specific AWS AI services and AI-driven dev tools (Cursor, Kiro, etc.) appear as stack context and are marked preferred.
AWS certifications are listed under Preferred Qualifications.
The role requires approximately 25% travel; it is not fully remote.
Compensation is quoted for San Diego, CA specifically; the posting notes final pay depends on experience, qualifications, and location, and includes RSUs and sign-on payments in addition to base salary.
Read the full posting
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