Associate AI or ML Engineer

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

• Develop AI/ML solutions for ECS Big Bets and AI 10.0 initiatives, focusing on automation of clinical workflows and operational efficiency
• Build and integrate models for tasks like Touchless Intake, Scheduling, Voice AI, and Prior Authorization
• Implement unit testing, code coverage, and test automation to ensure quality and reliability
• Collaborate with global engineering teams to deliver secure, scalable, and compliant solutions
• Work on front-end and back-end components using React, Next.js, and PostgreSQL
• Optimize data pipelines and model performance for production environments
• Stay current with AI technologies, including LLMs, prompt engineering, and multi-agentic architectures
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

• Software development experience, with exposure to AI/ML projects
• Knowledge of unit testing and test automation tools (e.g., Jest, PyTest)
• Understanding of AI/ML concepts and ability to work with pre-trained models
• Basic understanding of cloud platforms (Azure/AWS) and containerization (Docker/Kubernetes)
• Familiarity with CI/CD pipelines and deployment processes
• Exposure to Large Language Models (LLMs) and prompt engineering (hands-on experience preferred)
• Basic proficiency in Python and familiarity with React, Next.js, and PostgreSQL
• Willingness to learn LLM gateways, MCP, and agentic/multi-agentic solutions
• Proven solid problem-solving skills and ability to work in a collaborative team environment

• Interest in healthcare workflows and AI observability tools like Arize AX