Senior AI ML Engineer

Optum is a global leader in health care innovation, developing solutions that improve health outcomes. The Senior AI ML Engineer will lead AI/ML adoption, design and improve AI-powered software solutions, and provide technical leadership for AI initiatives in healthcare.

Responsibilities:

• Lead AI/ML adoption across the team, driving innovative use of both Generative AI and traditional ML techniques
• Design, develop, test, deploy, maintain, and continuously improve AI-powered software solutions to meet customer and business needs
• Build responsible AI solutions and service components to support the Provider community, ensuring compliance with ethical and regulatory standards
• Develop new features leveraging AI/ML, including Generative AI models, predictive analytics, and automation capabilities
• Provide technical leadership for AI initiatives, including Chatbots and conversational AI solutions
• Partner with product management, architects, and engineering leadership to deliver creative, scalable AI solutions for healthcare challenges
• Drive alignment with enterprise AI strategies and ensure solutions meet business objectives and engineering best practices
• Accountable for high-quality software deliverables and operational excellence
• Mentor and train team members on AI/ML technologies, frameworks, and responsible AI practices
• Collaborate with broader engineering teams to integrate AI into cloud modernization efforts and digital-first initiatives
• Exercise independent judgment to prioritize, plan, and manage AI-related activities and projects

Requirements:

• Undergraduate degree or equivalent experience
• 6+ years of software engineering experience
• 5+ years of hands-on experience building AI/ML solutions, including LLMs, Generative AI, and traditional ML models
• 5+ years of experience with Web and API development
• 5+ years of experience hosting applications in cloud environments (AWS preferred)
• Solid experience with Chatbots, conversational AI, and NLP-based solutions
• Solid knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations
• BS in Computer Science, Engineering, or related technical field (or equivalent experience)
• Experience in the healthcare industry
• Full-stack engineering experience