Senior AI/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.

AI/ML Engineers code and develop software that deploys ML models and algorithms into production. Communicate and present complex analytics results and concepts to leadership and internal stakeholders. Employ AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR).Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. May adapt machine learning to areas such as artificial intelligence, robotics and other products that allow users to have an interactive experience. Work with large scale computing frameworks, data analysis systems. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis, using both general purpose software and statistical languages. Generally work is self-directed and not prescribed.

Primary Responsibilities:

• Drive responsible use of 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
• 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

• 7+ years experience in Python
• 4+ years of hands-on experience building AI/ML solutions, including LLMs, Generative AI, and traditional ML models
• Solid experience with Chatbots, conversational AI, and NLP-based solutions
• 4+ years of experience with Web and API development
• 4+ years of experience hosting applications in cloud environments (AWS preferred)
• Solid knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations

• B.Tech in Computer Science, Engineering, or related technical field (or equivalent experience)
• Experience in the healthcare industry
• Full-stack engineering experience