Interested in high-scale distributed systems and Gen AI? Our team develops Amazon Bedrock Knowledge Bases, a fully managed service for end-to-end Retrieval Augmented Generation (RAG) workflow. Our team's mission is to make it easier for customers to build AI applications with contextual information from their enteprise data to deliver more relevant, accurate, and customized responses. We continuously develop new features to address real-world problems through research and innovation, such as 1/ integrating with Foundation Models (FM), agents, and data sources 2/ improving response quality by improving our existing pipeline and creating new pipelines 3/ introducing support for new content types and modality.

Lead the design and implementation of distributed AI data pipelines and systems, providing system-wide architectural guidance

Balance speed of execution with architectural requirements, identifying one-way door decisions that require the right long-term solution

Drive adoption of engineering best practices and operational excellence across the team

Solve complex technical problems with multiple risks and roadblocks, bringing clarity through simple, well-designed solutions

Mentor and coach multiple engineers, helping develop the next generation of technical talent

Effectively communicate technical designs to both technical and non-technical audiences