Senior Machine Learning Engineer , AGI - Amazon Knowledge Graph

Amazon.com, Inc.•Sunnyvale, CA

35d

About The Position

Amazon's AGI Information is seeking an exceptional Senior Software Development Engineer to drive advancements in the Amazon Knowledge Graph (AKG) Construction and Retrieval infrastructure. AKG is re-inventing knowledge graphs for the LLM-era, optimizing for LLM grounding and enabling agentic AI systems that require real-time knowledge retrieval. AKG serves as the foundational knowledge layer for Nova, AWS Q, Alexa+, providing structured, factual information that grounds LLM responses and powers autonomous agent decision-making across Amazon surfaces. As a member of the AKG Interfaces team, you will have the opportunity to work on interesting problems with immediate customer impact. The team is addressing challenges in automating gap detection, data ingestion, fact verification, query optimization, entity resolution, and building scalable APIs that serve billions of requests from agentic systems.

Requirements

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

Nice To Haves

5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent
Experience on highly concurrent, high throughput systems and knowledge of complex distributed systems
Experience with AI/ML technologies
Experience with graph databases (e.g., Neptune, Neo4j)

Responsibilities

Build a scalable information grounding infrastructure that provides grounding evidence to multiple Amazonian experiences and agentic AI systems. Grounding large language models (LLMs) and AI agents ensures that their interactions with users are informed, relevant, consistent, and trustworthy.
Technical Leadership: Design and implement large-scale distributed systems using Java and AWS technologies to power AKG's knowledge access infrastructure. Architect fault-tolerant solutions that efficiently manage petabytes of structured knowledge while maintaining strict SLAs.
Operational Excellence: Partner with systems engineers to troubleshoot complex issues, design automated recovery mechanisms, and develop tools for system resilience. Establish monitoring frameworks and define alerting strategies that ensure 24/7 reliability. Engage directly with customers to understand their needs and architect solutions for their unique challenges.
Strategic Impact: Shape technical and product strategy across the organization. Influence roadmap decisions and contribute to the team's technical vision. Partner with AI/ML teams to optimize LLM interactions with structured knowledge, pioneering new approaches for knowledge integration and retrieval.
Team Growth & Excellence: Establish engineering best practices and drive quality standards. Participate in hiring, conduct technical interviews, and mentor junior engineers. Lead design reviews and knowledge sharing initiatives to foster a culture of technical excellence.
Cross-Team Collaboration: Drive technical initiatives across organizational boundaries. Build strong partnerships with dependent teams and align technical strategies across Amazon's AI ecosystem. Represent the team in cross-functional discussions and influence decisions that impact multiple organizations.