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Senior Software Development Engineer, Ads Agent Fabric (Ads AI Core Infrastructure)

Amazon

Amazon

Software Engineering, Other Engineering, Data Science
New York, NY, USA
Posted on Feb 17, 2026

Description

Advertisers and advertising tools are rapidly adopting AI agents to plan, optimize, and achieve marketing goals. The Ads Agent Fabric team’s mission is to deliver a common infrastructure supporting all advertising-aware model-based applications (i.e., agents) and accelerate development of agentic applications for our advertisers. The team is responsible for an agent-builder SDK with pre-integrated Ads features, agent-builder tools that accelerate develop, test, and model evaluation lifecycle, and a fully-managed runtime with integrated access to the Ads services, data, and foundational models.

As an SDE3 on the Agent Fabric team, you will own the design and delivery of critical infrastructure components that enable Amazon Ads to build and deploy AI agents at scale. You'll work at the intersection of distributed systems, machine learning infrastructure, and developer tooling, defining technical strategy for how thousands of advertisers interact with AI-powered advertising solutions. This role requires deep technical expertise in building scalable platforms and comfort with ambiguity as you'll be building in an emerging space where best practices and technical requirements are still be defined. You will need strong system design skills, ability to define technical strategy, and capability to influence architecture decisions across multiple teams.


Key job responsibilities
- Own the full software development lifecycle from design to production launch of core infrastructure components and services
- Build highly scalable, low-latency infrastructure supporting real-time agent execution
- Define technical standards and best practices for agent development, testing, and deployment
- Partner with applied scientists to translate research innovations into production-ready services
- Lead architecture reviews and provide technical guidance to engineers across multiple teams