Senior Machine Learning Engineer , AGI Amazon Knowledge Graph

Amazons 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.


Key job 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 AKGs 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 teams 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 Amazons AI ecosystem. Represent the team in cross-functional discussions and influence decisions that impact multiple organizations.

- 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
- Bachelors 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)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151300/year in our lowest geographic market up to $261500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.