If you want to apply advanced ML and agentic AI at Amazon scale, on systems with a direct, measurable financial impact, we'd love to talk.
Key job responsibilities
You will participate in the full software development lifecycle, from collaborating with customers and scientists on design, to building scalable, extensible systems that run in production. You will:
Design and build ML pipelines that process terabytes of data and score billions of dollars in transactions.
Build agentic AI applications: LLM-powered agents that discover risk patterns and generate detection logic, operating through well-defined tool interfaces with human-in-the-loop review.
Build the knowledge and memory systems agents depend on: vector stores, knowledge graphs, the entity-risk layer for cross-entity collusion detection, and in-session and shared memory.
Develop how we evaluate agent effectiveness in fraud detection, and turn analysts' ad-hoc investigation patterns into repeatable, templated workflows.
Build the platform and tooling (governed data access, model deployment, and self-service rule authoring) that lets agents and non-engineers ship detection logic safely and fast.
Take models and agents from prototype to reliable, real-time production systems, and work directly with internal customers to turn feedback into shipped improvements.
A day in the life
You'll partner with applied scientists, software engineers, and finance operations teams across Amazon. You'll harden an agent pipeline for production, extend the entity graph that powers a new detector, or design a tool interface that lets an agent query data safely, then review it with the customer who'll use it. Because our team and our customers are comfortable trying new ideas, you'll get your work in front of real data quickly and iterate on what you learn.
About the team
We own the machine learning and agentic-AI systems that prevent, recover, and avoid internal and external theft, fraud, abuse, and waste across Amazon Finance Operations. Our platform makes real-time risk decisions on transactions from many of Amazon's largest businesses. We're actively building toward entity-level risk profiles updated in real time, and agentic systems that compress fraud discovery and investigation from weeks to days, with engineers building the leverage layer that multiplies what every analyst and agent can do.
3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
3+ 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 in machine learning, data mining, information retrieval, statistics or natural language processing
Experience in processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution)
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
