About Mind Moves
Mind Moves is a women-owned Washington, D.C.-based firm helping businesses and governments to embrace, build and deploy ‘human in the loop’ AI solutions to elevate mission and value. We are pioneers with deep expertise in the field of machine learning and AI (both predictive and generative). We have delivered responsibly developed products and services that impact millions of users worldwide, while generating millions of dollars in revenue. We have worked with Fortune 500 corporations and large government entities in health care, supply chain management, financial services and life sciences. We apply a structured methodology and holistic approach to AI transformation and a broad spectrum of technical services centered in the harnessing of people, science and technology.
What you’ll be doing
Helping to guide a group of cross-functional teams as they move their use cases from idea to shaping a use case to Minimum Viable Product (MVP). These teams will consist of various members from different institutes or centers of the National Institutes of Health and as such, propose use cases that are typically in the medical research or public health space, for internal or external audiences.
Working with Mind Moves
You’ll collaborate with client leads, business operators, fellow consultants, and the Mind Moves project team—while working closely with world-leading scientists at NIH and Mind Moves. This role offers the chance to:
Make a measurable impact on scientific discovery and public health.
Gain hands-on experience with frontier AI/ML technologies.
Operate at the intersection of health, data, and AI in a creative, mission-driven environment.
The contract will include:
Deliver 'knowledge sessions' to teams to familiarize and give working knowledge to teams
Assist in data engineering and preparation tasks to enable teams who may not have engineering resources to utilize their data or new data sources
Rapidly develop proof-of-concept AI prototypes and functional demos to validate use cases, accelerate stakeholder buy-in
Demonstrate iterative value creation across team capabilities
Collaborate with cross-functional teams across federal agencies and supporting partners
Designing solutions with defined requirements
Innovating ‘outside the box’ while accounting for risk
Articulate the art of the impossible and lead to the edge of the frontier of innovation
Contractor has the following skills/background:
7+ years professional experience in Data Science, Machine Learning, or AI Engineering
Azure expertise is essential — deep, hands-on experience with Azure AI Foundry, Azure OpenAI Service, Azure Cosmos DB, and the M365 ecosystem (Teams, SharePoint, Copilot); general cloud experience is not sufficient
Production-level RAG implementation — retrieval strategy, relevance ranking, chunking, access-controlled data filtering, and evaluation; this is a non-negotiable core requirement
Strong GenAI/LLM depth — prompt engineering, model selection and strategy, structured outputs, evaluation frameworks, and guardrails
Demonstrated experience designing and orchestrating agentic AI workflows using LangChain, AutoGen, or Microsoft Semantic Kernel
Knowledge graph / graph database experience (Neo4j or Azure Cosmos DB with graph API) — entity modeling, relationship design, query and visualization
Databricks and MCP integration experience
Data engineering and ETL — pipeline design, API integration, backend development
AI governance aligned with NIST AI RMF, NIH/HHS requirements, including human-in-the-loop workflow design and RBAC in federal environments
Proficiency in Python, PyTorch, and SQL
Background or experience in biomedical, bioinformatics, or life sciences preferred
Experience taking solutions from proof of concept through MVP to production deployment
Strong communication skills; ability to lead knowledge sessions with non-technical stakeholders
Eastern Time Zone required, Maryland/Virginia/DC area preferred
Proposal Details
Compensation range: Proposals accepted from $80-90/hour
Estimated contract duration: 12 months
Contract hours: 40 hours/week
Work locale: 100% remote in the EST required and DC metro area preferred
Security: If selected, candidates will be required to complete a full background check.
To apply: If interested, please upload your resume and complete this short form.
Timeline and Process
This opportunity has an immediate start date. Priority deadline to submit proposals is September 15th with an ideal start date in September, though proposals are accepted on a rolling basis until the position is filled.
The contract bid process will include 2-3 interviews and the invitation to complete a technical exercise.
7+ years in data science, machine learning, or AI engineering; deep Azure AI expertise; production RAG, GenAI, agentic workflows, data engineering, governance, Python, PyTorch, and SQL experience.
Key Responsibilities
- delivering sessions
- developing prototypes
- designing solutions
Skills & Tools
Azure AI Foundry, Azure OpenAI Service, Azure Cosmos DB, Microsoft Teams, Microsoft SharePoint, Microsoft Copilot, LangChain, AutoGen, Microsoft Semantic Kernel, Neo4j, Databricks, MCP, Python, PyTorch, SQL
Job Details
- Category: Engineering
- Seniority: Senior Level
- Commitment: Contract
- Workplace: Remote — United States or North America or Maryland or Virginia or Washington
- Salary: USD 166,400 – 187,200 / year
- Languages: English
About Mind Moves
A women-owned consulting firm helping businesses and governments build and deploy human-in-the-loop artificial intelligence solutions. — Industry: Consulting Services