ML/AI Engineer

NewGen Technologies; United States; Hybrid; USD 180,000 - 240,000; Full time

Job summary

NewGen Technologies is seeking a senior AI/ML engineer to drive data science and GenAI initiatives in the medical research/public health space. You will guide cross-functional teams from concept to MVP, ensuring robust RAG pipelines, knowledge sessions, and production-ready AI workflows.

You’ll collaborate with client leads, scientists, and partners, leveraging Azure AI Foundry, Azure OpenAI, and graph databases to deliver impactful insights and tangible solutions while working in EST hours with

Qualifications

• 7+ years professional experience in Data Science, ML, or AI Engineering.
• Deep hands-on Azure AI Foundry and Azure OpenAI Service experience.
• Production-level RAG implementation with retrieval, filtering, and evaluation.
• Strong GenAI/LLM depth: prompts, model selection, outputs, guardrails.
• Experience designing agentic AI workflows with LangChain, AutoGen or Semantic Kernel.
• Knowledge graph experience with Neo4j or Cosmos DB graph API.
• Data engineering and ETL, pipeline design and API integration.
• RBAC and human-in-the-loop governance aligned with NIST RMF.

Responsibilities

• Deliver knowledge sessions to cross-functional teams.
• Assist data engineering tasks to enable data utilization.
• Rapidly develop proof-of-concept AI prototypes and demos.
• Demonstrate iterative value creation across capabilities.
• Collaborate with federal agencies and supporting partners.
• Design solutions with defined requirements and risks.
• Innovate beyond the obvious while managing risk.
• Lead with visionary AI and guide production deployment.

Skills

Data Science

Machine Learning

Azure expertise

GenAI/LLM depth

LangChain/AutoGen/Semantic Kernel

Knowledge graph / graph DB

Python

PyTorch

SQL

RBAC & human-in-the-loop

Data engineering & ETL

Communication skills

Education

Biomedical / life sciences background

Tools

Azure AI Foundry

Azure OpenAI Service

Azure Cosmos DB

M365 ecosystem

Neo4j / graph API

Databricks

Microsoft Semantic Kernel

LangChain / AutoGen

Job description

Help 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 end client and as such, propose use cases that are typically in the medical research or public health space, for internal or external audiences.

Collaborate with client leads, business operators, fellow consultants, and the project team, while working closely with world-leading scientists. 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.

Candidates must be based in the US and work in EST hours with some flexibility.

Responsibilities

• 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
• Design solutions with defined requirements
• Innovate 'outside-of-the-box' while accounting for risk
• Articulate the art of the impossible and lead to the edge of the frontier of innovation

Requirements

• US Citizenship
• 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, structure 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, Client 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

About Us

For more than 20 years, NewGen Technologies has solved our clients’ toughest IT challenges with integrity, security, and outstanding service by delivering both technology and talent. We have helped secure borders, have used artificial intelligence (AI) to fight terror, aided the identification of criminals, and have helped to prevent crime through the introduction of biometrics.Our team of Highly Cleared Specialists have hard-to-find skills and expertise in a wide spectrum of technologies to provide solutions that transform business processes and solve problems of national significance. #CJ