Lead Data Scientist

Design end-to-end AI architectures, selecting appropriate LLMs, vector databases (Kendra, MongoDB), and prompting strategies. Conduct hands-on technical experimentation and validation to “stitch together” components from AWS and other sources. Provide proven technical blueprints and guidance to data scientists and engineers for production implementation. Act as a technical driver and vocal leader, guiding teams and communicating complex AI solutions to stakeholders. Evaluate and implement emerging technologies such as LangChain, LangGraph, and Agentic AI solutions.

The selected candidate must be comfortable traveling to Reston, VA at their own expense twice per year for PI Planning., 8-10 years of intensive experience in Data Science and Machine Learning Engineering. Proven experience as a Lead Data Scientist or AI Architect with a strong focus on technical design. Deep knowledge of AI orchestration and frameworks (e.g., LangChain, LangGraph, MCP). 2-3 years of experience designing solutions within the AWS AI/ML stack, specifically using Bedrock and SageMaker. Exceptional communication skills with a “vocal leader” personality; ability to drive projects across multi-functional teams. Ability to travel to Reston, VA for periodic planning sessions., 1-2 years of experience in Data or Solution Architecture. Experience with Generative AI and Agentic AI implementations. Familiarity with Vector Databases such as AWS Kendra or MongoDB and relational databases like AWS Aurora.