Senior AI Research Engineer: Agentic AI Systems

Amazon

Seattle (WA)

On-site

USD 168,000 - 227,000

Full time

14 days+

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Job summary

Amazon's Quick Science team is hiring a Research Engineer to advance generative AI and Agentic AI for enterprise workflows. You will lead development of tools, design experiments, and bridge science with production, scaling to millions of users in a fast-paced environment.

The role blends hands-on coding with technical leadership, mentoring, and collaboration with engineers to ship practical AI solutions, improve experiment pipelines, and push the frontier of enterprise AI assistants.

Qualifications

5+ years of non-internship professional software development experience.
5+ years of programming with at least one software programming language experience.
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
Experience as a mentor, tech lead or leading an engineering team.
5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.

Responsibilities

Define, design and lead the development of tools that accelerate the science experimentation and delivery process.
Design and guide the science team's implementation, enabling Science proof of concepts that help decide the ultimate science solution strategy, algorithm workflow, and the individual science components that become a release candidate.
Tool development: build and improve toolings that applied scientists would need, including scalable science experiment frameworks, low-latency testing pipelines, data collection/annotation/evaluation web applications.
Expedite science to production: bridge the gap between science and engineering teams, help to investigate and mitigate gaps between science and engineering pipeline. Help to merge both pipelines to one, or making components within the two interchangeable. Work towards a fast science-to-production paradigm.