Applied Scientist, Applied AI Solutions at Amazon
Seattle, WA
—
Jul 15, 2026
Seattle, WA
Jul 21, 2026
What this job asks for AI summary
A senior research and engineering role focused on building a multi-agent AI system from the ground up, applying techniques such as fine-tuning and reinforcement learning to large language and foundational models. The work spans the full lifecycle — from research and dataset analysis through model optimization to production deployment — in support of customer-facing business applications. Best suited to someone with a strong ML research background and hands-on experience shipping models into production.
Senior level · 3+ years · National · Master's required · 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
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
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 job location is not explicitly stated in the posting; it is an AWS role likely based in the US but no specific city or CBSA could be determined.
Degree requirement is nuanced: the Basic Qualifications state 'PhD, or Master's degree and 4+ years' as one path, alongside '3+ years of building models for business application experience'. The minimum degree gate is effectively a Master's (the PhD path is an alternative), so the degree requirement is set to Masters. A PhD is not strictly required.
The overall years minimum is set to 3, reflecting the '3+ years of building models for business application experience' stated in Basic Qualifications; the Master's + 4 years path is an alternative route.
Fine-tuning and reinforcement learning are listed as methods in the role description with firm language ('You will be responsible for building the state-of-art multi-agent system, using a handful of methods including fine-tuning, reinforcement learning'), treating them as hard requirements.
Agentic systems and LLMs are explicitly called out in the role framing as core expertise required ('expertise in large language models, agentic systems, and foundational models').
Linux and professional software development appear only under Preferred Qualifications and are marked accordingly.
The alt SOC 15-1252 (Software Developers) is noted because the role involves building and deploying ML models in production alongside software engineers, giving it a meaningful software engineering component.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): ML modeling, software development.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.