Software Development Engineer, Ads AI Core Infrastructure (ACI), Ads AI Core Infrastructure

DESCRIPTION

At Amazon Ads, we’re re-imagining the advertising landscape through advanced generative AI technologies and AI agents, revolutionizing how millions of customers discover products and engage with brands online. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle — from ad creation and optimization to performance analysis and customer insights.

The Ads Agent Fabric team delivers the AI infrastructure platform that accelerates agentic application development from months to weeks. We build the agent-builder SDK with pre-integrated Ads features, developer tools that accelerate the develop, test, and model evaluation lifecycle, and a fully-managed stateful runtime with integrated access to Ads services, data, and foundational models. Our platform solves core production challenges: managing execution state across multi-step reasoning and multi-agent orchestration, enabling resumability through checkpointing and task queues for long-running workflows, and providing memory primitives that enable stateful experiences where agents remember and learn across sessions.

You will build Tier-1 services to handle millions of requests per day, while maintaining response latencies in the milliseconds and meeting strict SLA requirements. You will develop distributed solutions with service-oriented architecture to build high-performance platforms powering the next generation of AI-driven advertising experiences. Our systems and algorithms operate on massive datasets using distributed frameworks. In this role, you will design new and rebuild existing solutions for the fast-growing scale of agentic infrastructure — including stateful runtime services, and pre-built platform components that agent-builder teams rely on to ship production agents.

You will not merely go through the full software development cycle but more importantly drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of AI-powered advertising at Amazon.

We are a highly motivated, collaborative, and fun-loving team building at the forefront of AI agent infrastructure. We are entrepreneurial and have a bias for action with a broad mandate to experiment and innovate. This is an opportunity to make a significant impact on the future of AI agents in the Amazon Advertising business.

A successful candidate will have the satisfaction of seeing their work power thousands of AI agents serving millions of advertisers globally, broaden their technical skills across distributed systems and ML infrastructure, and work in an environment that thrives on creativity, experimentation, and product innovation.

Key job responsibilities
SDE-2s are autonomous contributors to their team’s software. You deliver working features spanning the full software lifecycle including working backwards from customers, software design, implementation, testing, deployment, operations, and documentation.

SDE-2s coach others on producing high-quality code, using processes such as code review as a teaching mechanism. They ensure that when their software fails, the root cause is identified and eliminated with a permanent fix. They ensure the software they produce can be maintained and extended by those not familiar with the code by writing clear documentation and making good design choices.

SDE-2s participate in an inclusive, constructive dialogue with other team members and members of closely related teams. They train new team members on how their software is constructed, how it operates, and how it fits into the bigger picture.

About the team
Agent Fabric is Amazon Ads’ AI infrastructure platform. We extend AWS AgentCore with advertising-specific capabilities and a managed, stateful runtime, cutting agent development from months to weeks. We own the platform end-to-end: the agent-builder SDK, the runtime that executes agents in production, and the knowledge and governance layers that keep it safe and accountable at scale. Our systems are in the critical path for GenAI projects across Amazon Advertising.

Stateful Runtime & Orchestration: an orchestration framework that turns a single agent turn into durable, resumable work: async conversations that persist after a turn ends and notify on completion, scheduled and event-driven workflows, and multi-step DAG exe…