The ACES Applied Science and AI team is seeking a Senior Machine Learning Engineer to join our team of Applied and Data Scientists to lead the end-to-end development of Generative AI (GenAI) products. Youll architect and implement solutions for complex operational challenges using state-of-the-art SDK and Agentic Frameworks (Strands LangGraph LangChain CrewAI) and Large Language Models (LLMs). We are building multiple autonomous and ambient agents that process GB-scale live data from Amazons internal tools serving numerous customers across our Fulfillment Centers (FCs) Network to improve our customers productivity and streamline operations.
Key job responsibilities The role encompasses full-stack development of GenAI applications in partnership with senior scientists and other software developers including: * Partnering with team to investigate design approaches and evaluating technical feasibility * Designing and implement scalable architectures for GenAI applications using AWS services in a production environment. * Developing understanding of emerging technologies and algorithms in the field of Generative AI. * Building Model Context Protocol (MCP) servers for internal tools. * Building interactive front-end applications for user interaction with agents - browser extensions/backend services on AWS * Developing robust backend systems for storage retrieval logging analytics and context management * Collaborating with cross-functional teams of technical product managers and SMEs from ideation to deployment.
About the team The ACES Applied Science and AI (ScAI) team delivers Generative AI Machine Learning and LLM powered Causal solutions to solve business problems across North America Customer Fulfillment (NACF). From machine learning modeling to automation we deliver impactful science and software solutions to enhance business efficiencies improved decision-making simplify operational complexity while driving measurable results.
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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