Description

Application deadline: Apr 1, 2026

Amazon Advertising organization is democratizing advanced advertising capabilities, giving millions of sellers and brands access to sophisticated optimization tools that were previously only available through agencies or expensive third-party providers. We are building the next generation of agentic AI systems that will transform how millions of advertisers interact with Amazon's advertising platform. By combining large language models, autonomous agents, and Amazon's unmatched first-party data on shopper behavior and conversion patterns, we're creating intelligent systems that reason, plan, and act on behalf of advertisers - delivering insights and optimizations that vastly outperform manual campaign management.

We are looking for a Senior Software Engineer who will lead the technical vision and innovation in revolutionizing how advertisers succeed on Amazon. You will be part of a newly formed team building a horizontal agentic AI layer - the next generation of AI-powered marketing experts that transform how advertisers of all sizes create, manage, and optimize their campaigns.

Key job responsibilities
As a Senior Software Engineer, you are a recognized technical leader who drives the engineering strategy, mentors team members, and partners with cross-functional teams to deliver complex end-to-end AI solutions. Your work focuses on architecting and implementing robust systems in ambiguous problem areas where both the business problem and solution approach need to be defined. The problems you tackle require significant technical innovation at the product level - from guiding less experienced sellers through campaign setup to automatically surfacing optimization opportunities that unlock advertiser success.

You take ownership of the long-term technical vision, product roadmaps, and technologies, defining how they should evolve. You build consensus through thoughtful discussions with stakeholders, scientists, and engineering peers across multiple teams. You bring deep expertise to provide context for current and future technology choices, and make strategic recommendations on system architecture and implementation approaches to achieve transformative business outcomes - ultimately strengthening Amazon's advertising ecosystem and helping more advertisers thrive.

Key job responsibilities
- Design and implement core components of the Ads Agent Orchestration platform including agent runtime, MCP server integrations, and skill/tool frameworks
- Build and maintain production services handling real-time agent interactions with advertising APIs (campaign management, bidding, reporting)
- Develop evaluation and observability infrastructure for agentic systems (OTEL tracing, CloudWatch integration, automated eval harnesses)
- Drive technical design for new features end-to-end: write design docs, lead reviews, implement, test, and deploy
- Mentor junior engineers through code reviews, design guidance, and pair programming
- Contribute to operational excellence: on-call rotations, runbook development, and incident response
- Collaborate with Applied Scientists and partner teams to integrate ML models and agent capabilities into production systems

A day in the life
- Write and review code for agent orchestration services (Python, TypeScript/CDK)
- Participate in design reviews and sprint planning
- Debug and resolve production issues across the agent request path (A3C → DX MCP Gateway → AgentCore → AdsFabricSDK → Strands/Bedrock)
- Review and merge pull requests from teammates
- Collaborate with partner teams on API contracts and integration testing
- Contribute to team technical discussions and architecture decisions

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.