AI/ML Engineer

Optum is hiring an AI/ML Engineer to design, build, and deploy AI and machine learning capabilities for healthcare operations. The role focuses on GenAI and traditional ML models, scalable Python inference APIs, semantic search, and AI solutions across enterprise healthcare data.

Responsibilities

Design, develop, and validate machine learning models using GenAI (LLMs, agentic frameworks) and traditional ML techniques on cloud platforms

Write and deploy scalable Python APIs for model inference running on Kubernetes, ensuring efficient containerization and orchestration of agentic flows

Implement and integrate semantic search capabilities to enhance data accessibility and retrieval for analytics and business intelligence

Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible use of AI

Evaluate emerging technology trends and best practices to inform solution design, architecture, and strategic innovation

Leverage enterprise-approved AI tools to streamline developer workflows, automate tasks, and drive continuous software delivery improvement

Utilize agentic coding and version control tools (e.g., GitHub Copilot, Claude) for efficient code creation, repository management, and technical collaboration

Maintain rigorous coding standards, thorough documentation, and effective performance monitoring across all deployed AI/ML pipelines

Preferred

Bachelor's degree or equivalent experience

Strong analytical, quantitative, problem-solving, and critical thinking skills

Strong written and verbal communication skills, including the ability to present detailed technical analyses to diverse technical and business stakeholders

Experience with vision and speech models in GenAI (multimodal architectures)

Background in healthcare data analytics (e.g., claims, eligibility, enrollment) and working within regulated compliance environments

Hands-on experience with containerization and container orchestration technologies such as Docker and Kubernetes

Experience utilizing AI-assisted developer and coding tools to accelerate software production and technical documentation

Demonstrated familiarity with agentic frameworks, Model Context Protocol (MCP), and Agent-to-Agent (A2A) architectures

Generative AI Models

Multimodal Architectures

Vision Models

Speech Models

Healthcare Data Analytics

Claims Data

Eligibility Data

Enrollment Data

Regulatory Compliance

Docker

Kubernetes

AI-Assisted Development Tools

Coding Tools

Software Production

Technical Documentation

Agentic Frameworks

Model Context Protocol (MCP)

Agent-to-Agent (A2A) Architectures

Analytical Skills

Quantitative Skills

Problem-Solving

Critical Thinking

Written Communication

Verbal Communication

Presentation Skills

Stakeholder Communication

Benefits

Flexible telecommuting from anywhere within the U.S.

A comprehensive benefits package (subject to eligibility requirements)

Incentive and recognition programs (subject to eligibility requirements)

Equity stock purchase (subject to eligibility requirements)

401k contribution (subject to eligibility requirements)

Company

Health care services and prescription management

Eden Prairie, Minnesota, USA

https://nm.optum.com/

Founded in 1985

10001+ employees

Qualifications

4+ years of software development, data engineering, or AI/ML experience

4+ years of professional experience in Python using core data science and machine learning libraries (e.g., scikit-learn, Databricks)

3+ years of experience applying machine learning techniques in a commercial enterprise, including supervised/unsupervised learning, time-series forecasting, or statistical analysis

2+ years of experience applying NLP (transformers, GPT) or LLMs (RAG, vector databases, embeddings) in a production setting with large-scale datasets

1+ years of experience building, deploying, and maintaining RESTful APIs for machine learning model inference

Bachelor's degree or equivalent experience

Strong analytical, quantitative, problem-solving, and critical thinking skills

Strong written and verbal communication skills, including the ability to present detailed technical analyses to diverse technical and business stakeholders

Experience with vision and speech models in GenAI (multimodal architectures)

Background in healthcare data analytics (e.g., claims, eligibility, enrollment) and working within regulated compliance environments

Hands-on experience with containerization and container orchestration technologies such as Docker and Kubernetes

Experience utilizing AI-assisted developer and coding tools to accelerate software production and technical documentation

Demonstrated familiarity with agentic frameworks, Model Context Protocol (MCP), and Agent-to-Agent (A2A) architectures

Required skills

Python, Machine Learning, scikit-learn, Databricks, Natural Language Processing, Large Language Models, Retrieval-Augmented Generation (RAG), Vector Databases, RESTful APIs, Docker, Kubernetes, Agentic Frameworks, Model Context Protocol (MCP), Agent-to-Agent (A2A), Healthcare Data Analytics

Preferred skills

Bachelor's degree or equivalent experience

Experience

4+ years