Description

You will design and build scalable AI services leveraging AWS AI/ML stack.

Responsibilities

• Lead end-to-end design, development, testing, deployment, and maintenance of AI services using AWS Bedrock, SageMaker, Lambda, and S3.
• Architect efficient AI/ML computing infrastructures to handle large-scale data processing and inference.
• Design solutions integrating the Bedrock Converse API for unified foundation model interaction, including tool calling.
• Develop Retrieval-Augmented Generation (RAG) patterns using Bedrock Knowledge Bases against proprietary data.
• Champion responsible AI practices, ensuring fairness and security throughout the development lifecycle.

Required Skills

• 7+ years in large-scale software development.
• 5+ years in solution design or architecture, including customer-facing requirements capture.
• 5+ years designing and developing solutions with NodeJS, scalable microservices, and REST APIs.
• 3+ years experience with the AWS technology stack and DevOps/CI/CD.
• 3+ years collaborating with engineering teams on prototype development.
• Experience with AWS Bedrock and generative AI technologies.
• Expertise in Python programming for AI/ML development.
• Familiarity with Agile Development and SAFe methodologies.

Preferred Skills

• Direct, hands-on experience architecting production solutions using AWS Bedrock, Converse API, Agents, and Knowledge Bases.
• Experience with performance, scalability, and usability optimization.

Key Skills

Education

Bachelor's degree