Software Development Engineer, AWS Agentic AI

AWS Agentic AI - This role is part of a confidential initiative to build a set of services that will power the next generation of Agentic systems. The work will span across all engineering domains like compute, data bases, networking, identity and will also require partnering with with ML science teams. We aim to hire engineers/managers who will thrive in a fast-paced, collaborative and open environment, who aren"t afraid to dive-deep to solve seemingly impossible challenges, who want to build rock solid 24x7 never-fail, highly-secure, software at world-class scale and who obsess over customers.

This role is in a new team that is building a new family of AI products. This team is considered strategic and has visibility with AWS leadership at the highest levels. The role offers a chance to build and launch new AI services from the ground up, learn the state of the art in machine learning (ML) technology, and work closely with an exceptional group of product, engineering, and science leaders.

Key job responsibilities

Design and build highly available control plane APIs, data plane services, and managed agent loops for production AI agents.

Deliver secure, isolated execution with tool orchestration, memory, context management, streaming, identity, networking, observability, and failure handling.

Design versioning, endpoints, progressive deployment, rollback, evaluations, and optimization capabilities that help customers safely improve agent behavior.

Improve latency, scalability, availability, resource efficiency, and cost controls across multi-tenant workloads.

Simplify the developer journey across APIs, SDKs, CLI, console, infrastructure as code, and local workflows through cohesive abstractions, templates, defaults, and automation.

Work directly with customers to reduce friction, accelerate time to production, and balance beginner-friendly experiences with flexibility for advanced builders.

A day in the life

As a Software Development Engineer, you will design and build core components across the harness control plane and data plane. You will solve complex distributed systems problems involving agent execution, session state, tool orchestration, security, scalability, reliability, and low-latency streaming. You will help define how developers build and operate agents on AWS and influence the technical direction of a rapidly evolving product area.

You will identify the next set of capabilities that can make agent development faster and more accessible. This may include simplifying how customers connect tools and memory, introducing richer agent templates and skills, automating permissions and resource wiring, shortening the build-test-deploy loop, and creating safer ways to evaluate and release changes.

This is a rare opportunity to join a newly launched service at an early stage, shape its architecture and customer experience, and deliver capabilities with broad industry impact. Machine learning experience is helpful but not required. We are looking for strong engineers with deep distributed systems expertise, sound technical judgment, and the ability to deliver in a fast-moving environment.