Description

Application deadline: Apr 1, 2026

Amazon Advertising is looking for a Software Development Engineer to build agentic AI systems that help advertisers manage campaigns more effectively. You will contribute to the Ads Agent Orchestration platform — implementing agent capabilities, building integrations with advertising APIs, and developing the tools and infrastructure that power AI-driven advertising automation. This is an opportunity to grow your career working on generative AI at production scale within one of Amazon's most impactful businesses.

Key job responsibilities
- Implement features and services for the Ads Agent Orchestration platform including agent tools, skills, and API integrations
- Build and maintain integrations between the agent runtime and Amazon Advertising APIs (campaign management, reporting, bidding)
- Write clean, well-tested, production-quality code following Amazon's engineering standards
- Develop and maintain automated tests, deployment pipelines, and monitoring for team services
- Participate in on-call rotations and contribute to operational runbooks
- Collaborate with senior engineers and scientists to translate designs into working software
- Contribute to code reviews and team technical discussions


A day in the life
- Write and test code for agent orchestration features (Python, TypeScript/CDK)
- Participate in daily standups and sprint ceremonies
- Debug issues in development and pre-production environments
- Review code from teammates and incorporate feedback on your own code reviews
- Work with senior engineers to understand system architecture and design patterns
- Monitor deployment health and respond to alerts during on-call shifts

About the team
You will join the Ads Agent Orchestration team within Amazon Advertising's Full Funnel Agentic Intelligence organization. Our team builds the platform that powers AI agents capable of understanding advertiser goals and autonomously executing advertising strategies across Sponsored Products, Sponsored Brands, Sponsored Display, and DSP. We work with technologies including large language models, multi-agent orchestration frameworks, and the Model Context Protocol (MCP) standard. The team operates in a fast-paced, high-ownership environment where engineers ship production AI systems that serve millions of advertisers.