Senior Applied Scientist, AWS Agentic Automated Reasoning Group

Amazon
New York, NY, USA / Seattle, WA, USA2026-05-11ONSITE

About the job

The Agentic Automated Reasoning Group is pioneering the next generation of neuro-symbolic tools—fusing breakthroughs in artificial intelligence with the scale of the cloud and our deep expertise in automated reasoning. If you're driven to push the boundaries of what's possible at the intersection of learning and logic, join us and help shape this transformational initiative. The Automated Reasoning checks team is looking for a Senior Applied Scientist with experience in building scalable formal reasoning solutions that delight customers. You will be part of a world-class team building the next generation of tools and services by combining Automated Reasoning, GenAI, and Agentic AI at cloud computing scale.

Responsibilities

Define and implement new automated reasoning features that employ scalable and efficient approaches to solve complex problems using neural learning and symbolic/formal reasoning; Apply software engineering best practices to ensure a high standard of quality for all team deliverables; Work in an agile, startup-like development environment; Deliver high-quality scientific artifacts; Work with the team to help drive business decisions; Design and implement scalable, production-grade neuro-symbolic systems that integrate formal reasoning with GenAI to deliver reliable, verifiable outcomes for AWS customers; Collaborate cross-functionally with product, engineering, and science teams as well as external customers to deeply understand pain points, gather requirements, and translate them into neuro-symbolic features that solve real-world problems; Enhance and extend the capabilities of formal reasoning systems to meet the demands of GenAI and agentic applications — including areas such as hallucination detection, policy verification, and automated guardrails; Proactively identify and pursue new opportunities to apply formal reasoning solutions across AWS services and customer domains, driving adoption and expanding the impact of neuro-symbolic approaches; Own the end-to-end science lifecycle — from research and experimentation through production deployment — defining metrics to measure system performance and the real-world impact of neuro-symbolic solutions; Mentor junior scientists and engineers, providing technical guidance, fostering a culture of scientific rigor, and raising the bar across the team; Advance the state of the art through publications at top-tier venues, patents, or open-source contributions, strengthening Amazon's position as a leader in automated reasoning and neuro-symbolic AI

Qualifications

Minimum

PhD, or Master's degree and 5+ years of applied research experience; Experience programming in Java, C++, Python or related language; 5+ years of industry or academic work in formal verification, program analysis, constraint-solving or theorem proving experience

Preferred

Experience delivering results for large, cross-functional initiatives/projects; Experience in communicating technically, at a level appropriate for the audience; Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage; Experience in formal verification, program analysis, constraint-solving, symbolic execution, model checking, SAT/SMT solver implementation and applications, mechanical theorem and/or code-reasoning languages such as Lean