Sr. Principal Tech Lead, AWS Transform
Amazon • Santa Clara, California, United States
No Relocation
Posted: June 18, 2026
Additional Content
Description
- We are looking for a Senior Principal Tech Lead Manager for AWS Transform, a frontier agent for migration and modernization. You will help architect and drive the technical evolution of autonomous AI agent
Description
- We are looking for a Senior Principal Tech Lead Manager for AWS Transform, a frontier agent for migration and modernization. You will help architect and drive the technical evolution of autonomous AI agent systems that modernize mission-critical enterprise infrastructure and very large codebases. We help our customers transition to a future of continuous modernization and help them unlock the full potential of GenAI. We do this through the first-of-its-kind multi-agent, multi-user, multi-domain system that orchestrates workflows across multiple teams within an enterprise. You will lead and grow a nimble team of AI scientists, fostering a culture of rapid experimentation and research excellence while keeping the team tightly aligned to product impact. You will set the technical vision for building state-of-the-art learning systems with knowledge graphs, reasoning, and validation capabilities that operate beyond foundational model boundaries — and translate that vision into concrete research and engineering milestones for your team. As a technical leader influencing a large engineering organization, you'll balance innovation with operational excellence, mentoring senior scientists and creating an environment where a small, high-caliber group can move fast and punch above its weight. This role is central to disrupting the enterprise modernization market and is a unique opportunity to combine expertise in distributed systems with bleeding-edge innovation in agentic systems.
Basic Qualifications
- - PhD, or Master's degree in CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: AI (NLP or multi-modality models), Deep Learning, LLM model training, graph learning, software engineering.