Machine Learning/AI Engineer

NewGen is seeking a Machine Learning/AI Engineer to operate at the intersection of health, data, and AI in a creative, mission-driven environment. 

Duties:

• 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

• Develop proof-of-concept AI prototypes and functional demos to validate use cases

• 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

Skills/background:

• 7+ years professional experience in Data Science, Machine Learning, or AI Engineering

• Azure expertise, 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 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