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Description

Are you excited about building autonomous AI systems that operate in high-stakes financial domains? Do you want to design multi-agent solutions where precision and trust are non-negotiable? If so, we'd love to talk with you.
Amazon processes massive volumes of financial agreements with partners worldwide. Our team owns critical systems in this financial lifecycle, ensuring accuracy at scale. We've built an autonomous multi-agent AI system that's transforming how we manage financial operations — and we're just getting started.
We're now pushing the boundaries of what agentic AI can do in production: building systems that go beyond predefined workflows to intelligently adapt and improve over time. Our AI agents run complex financial workflows, producing structured outputs with evidence that human reviewers validate. If you're passionate about building autonomous AI where accuracy is a business requirement — not just a metric — this is the role for you.

What You'll Build
You'll design and deliver systems at the intersection of AI/ML and FinTech, working on problems that directly impact profitability at Amazon scale. You'll leverage Amazon's advanced agentic AI infrastructure to build autonomous systems that process real financial data in production.
You'll contribute to products that span:
- Multi-agent AI architectures with orchestrators, specialized agents, and shared knowledge bases
- Distributed systems processing millions of financial transactions and communications annually
- Financial products where accuracy, auditability, and compliance are non-negotiable
- Full-stack solutions from data pipelines to user interfaces
- Evaluation and testing frameworks for AI agents at production scale
The ideal candidate will have strong software development experience, strong analytical and problem-solving skills, and a passion for building reliable, scalable AI systems. We look for engineers who are great communicators, self-motivated, and excited about pushing the boundaries of what autonomous AI can do in production.

Key job responsibilities
- Design and build complex systems that solve ambiguous business problems, decomposing them into components that teams can build in parallel
- Contribute to technical decision-making for your team, taking ownership of system architecture and providing system-wide design guidance
- Build AI systems with precision constraints, designing workflows, thresholds, and success metrics optimized for domains where errors are expensive
- Mentor and influence engineers across your team and organization, raising the bar for engineering excellence
- Drive innovation in autonomous AI systems and evaluation frameworks
- Own operational excellence for production systems, proactively identifying and fixing risks
- Partner cross-functionally with finance, product, and engineering teams to deliver customer-obsessed solutions