Software Development Engineer, AWS Forward Deployed Engineering

Were looking for a Software Development Engineer (SDE) who wants to build AI-powered production systems inside strategic enterprise customers and who thrives in high-ownership environments where delivery speed and customer outcomes matter more than process.

Youll embed directly within a customers engineering team to independently design build deploy and run AI workstreams end-to-end. Our teams deliver agentic AI solutions platforms where AI agents and human practitioners collaborate as a unified delivery system reducing migration timelines from years to months and cutting costs dramatically. Youll own complete delivery from requirements gathering through production deployment combining the technical rigor of an traditional SDE with the urgency required to ship measurable customer business outcomes.

This is a hands-on builder role. Youll write production-grade code every day make design trade-offs with appropriate guidance ship features across the full software lifecycle and take ownership of workstreams serving Fortune 500 customers. You wont just write code that ships to customers youll be on-site watching it work debugging it in real time and iterating based on what you learn.

What Youll Build

Youll deliver production AI systems spanning the enterprise cloud migration lifecycle. The work covers several domains:

- Agentic AI AI agents that autonomously handle migration tasks (discovery wave planning runbook generation infrastructure provisioning) while coordinating with human consultants
- Orchestration and workflow the coordination layer that enables multiple agents and humans to work in parallel with shared context and minimal overhead
- Platform infrastructure shared services (project datastores external system connectors agent lifecycle management) that underpin the ecosystem
- AWS Transform integration bidirectional data and workflow connectivity with AWSs flagship enterprise modernization service
- Custom solutions designing and deploying customer-specific agents and integrations that solve problems unique to their environment

All of it involves building agentic AI systems at production scale with real users real constraints and direct accountability to the customer.

Why This Role

- Youll build and deliver not advise you own your workstreams end-to-end. Youre accountable for working software in production not slide decks or recommendations.
- AI-native problems from day one every engagement involves designing agents orchestrating them evaluating their outputs or making them extensible. Youll work at the frontier of applied AI engineering.
- Real ownership with real stakes youll own the delivery of complete AI workstreams where the customer is watching. Theres nowhere to hide and no shortage of interesting problems.
- Full-stack exposure React frontends Python services AWS CDK infrastructure AI agent logic. Youll touch it all and youll need to.
- Direct customer impact you wont hear about customer outcomes secondhand. Youll be sitting with the customer when the system you built goes live and youll iterate on it together.
- Accelerated growth youll develop faster than in a traditional SDE role because youre solving problems end-to-end in high-pressure environments. Youll work alongside senior and principal engineers who will challenge you and expand your technical scope.
- Coaching opportunity youll coach customer engineers and new team members on producing high-quality code raising the bar across every engagement.

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- Experience programming with at least one software programming language
- Experience with full software development life cycle including coding standards code reviews source control management build processes testing and operations
- Experience contributing to the architecture and design (architecture design patterns reliability and scaling) of new and current systems
- 3 years of non-internship professional software development experience

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Experience building or deploying AI/ML applications in production environments
- Experience with agentic workflows RAG pipelines or foundation model integration
- Experience mentoring junior engineers
- Experience working in customer-facing or consulting-adjacent engineering roles

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