nTech Workforce
Lead Data Scientist / AI Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Scientist / AI Architect on a 12-month contract, remote for East Coast residents only, offering a pay rate of "$XX/hour." Requires 8-10 years of data science experience, AWS AI/ML expertise, and strong leadership skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 11, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Reston, VA
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🧠 - Skills detailed
#AI (Artificial Intelligence) #AWS (Amazon Web Services) #Langchain #Data Science #MongoDB #Databases #SageMaker #ML (Machine Learning) #Aurora
Role description
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• Looking Deep Data Science Experience
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• Title: Lead Data Scientist / AI Architect
Location: Reston, VA 20191 Remote (East Coast Residents Only)
Duration: 12-Month Contract (Extension Possible)
Job Description:
Terms of Employment
• 12-Month Contract (Extension Possible)
• Remote (East Coast Residents Only)
• The selected candidate must be comfortable traveling to Reston, VA at their own expense twice per year for PI Planning.
Overview & Responsibilities
• Work with a leading organization to define and drive the next generation of their Artificial Intelligence portfolio. We are seeking a Lead Data Scientist / AI Architect who is a "vocal leader" and technical visionary. Unlike traditional architect roles that focus solely on diagrams, this position requires a deep-rooted background in hands-on data science and machine learning. You will be the primary strategist, conducting hands-on experimentation to stitch together complex AI components—including LLMs, vector databases, and orchestration frameworks—to create proven architectures that data science teams will build and deploy.
You will…
• 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.
Required Qualifications
• 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.
Preferred Qualifications
• 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.
Sincerely,
Preetam Raj
Lead Technical Recruiter
nTech Workforce Inc
D: 410-505-4857 EXT: 726
E: preetam@ntechworkforce.com
preetam(at)ntechworkforce(dot)com
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• Must be East Coast Residents ONLY
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• Looking Deep Data Science Experience
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• Title: Lead Data Scientist / AI Architect
Location: Reston, VA 20191 Remote (East Coast Residents Only)
Duration: 12-Month Contract (Extension Possible)
Job Description:
Terms of Employment
• 12-Month Contract (Extension Possible)
• Remote (East Coast Residents Only)
• The selected candidate must be comfortable traveling to Reston, VA at their own expense twice per year for PI Planning.
Overview & Responsibilities
• Work with a leading organization to define and drive the next generation of their Artificial Intelligence portfolio. We are seeking a Lead Data Scientist / AI Architect who is a "vocal leader" and technical visionary. Unlike traditional architect roles that focus solely on diagrams, this position requires a deep-rooted background in hands-on data science and machine learning. You will be the primary strategist, conducting hands-on experimentation to stitch together complex AI components—including LLMs, vector databases, and orchestration frameworks—to create proven architectures that data science teams will build and deploy.
You will…
• 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.
Required Qualifications
• 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.
Preferred Qualifications
• 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.
Sincerely,
Preetam Raj
Lead Technical Recruiter
nTech Workforce Inc
D: 410-505-4857 EXT: 726
E: preetam@ntechworkforce.com
preetam(at)ntechworkforce(dot)com
