Senior AI/ML Engineer- Hybrid Eden Prairie, MN

About the role

Welcome to the Optum Health AI team. Our mission is to use advanced AI technologies to transform healthcare operations, improve patient experience, and scale high-value capabilities. This role focuses on Voice AI, a strategic Optum Health AI initiative designed to create seamless member and agent experiences, reduce manual work, and improve operational scalability.

Primary Responsibilities

• Design, build, and deploy responsible Voice AI solutions across speech handling, enhanced ASR, bilingual switching, slurred speech recognition, dynamic personality, and multi-modal interactions
• Translate advances in real-time transcription and speech processing into scalable, reusable, production-ready capabilities
• Partner with ECS Business on solution architecture, cost estimates, and roadmap alignment across modern and legacy platforms
• Earn ethical AI, fairness, transparency, accountability, and HIPAA-compliant security throughout the model lifecycle
• Develop dynamic interactive forms and adaptive updates that improve patient-agent interactions
• Define enterprise AI standards for evaluating and vetting external AI vendors
• Apply enterprise-approved AI tools to automate tasks, accelerate development, and improve engineering productivity
• Evaluate emerging AI/ML trends, research, and technologies to inform solution design and innovation

Required Qualifications

• Bachelor's degree or equivalent experience; 4+ years of software engineering experience may substitute for a degree
• 5+ years of software engineering or development experience building and deploying production-grade systems
• 3+ years of hands-on experience building, deploying, and evaluating ML, AI, LLM, or agentic AI solutions in production environments
• 3+ years of professional programming experience with Python, SQL, and ML frameworks such as Scikit-Learn, TensorFlow, or PyTorch
• 2+ years of experience building cloud-based applications, backend services, APIs, or CI/CD pipelines using AWS, GCP, or Azure

Preferred Qualifications

• Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related technical field
• Hands-on experience with Databricks, Azure AI, Azure Transcription Services, RLlib, PyTorch, OpenAI, or related AI/ML platforms
• Experience developing full-stack capabilities using frameworks such as React or React Native and REST or WebSocket APIs
• Healthcare technology experience, including EHR integration and secure, HIPAA-compliant AI application development
• Broad ML domain knowledge across NLP, speech, personalization, recommendation systems, anomaly detection, or computer vision
• Proven solid ownership, curiosity, adaptability, and learning agility, with the ability to navigate ambiguity and deliver impactful technical solutions

Benefits

Our mission of helping people live healthier lives extends to our team members. Learn more about our range of benefits designed to help you live well.