Note: The job is a remote job and is open to candidates in USA. nTech Workforce is seeking a Lead Data Scientist to help define and drive the next generation of an Artificial Intelligence portfolio. The role focuses on designing end-to-end AI architectures, conducting hands-on experimentation with machine learning components, and guiding data science and engineering teams toward production implementation.
Responsibilities
- 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
Skills
- \•\•\•Candidates MUST BE located on the East Coast only to be eligible for this job
- 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
Benefits
- Remote work arrangement for East Coast/EST candidates
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