Join Optum, a global leader dedicated to improving health outcomes through technology. We are seeking a Senior AI/ML Engineer to drive the design, development, and deployment of cutting-edge AI/ML solutions. This role offers the chance to work with talented peers in an inclusive culture, contributing to the advancement of health optimization on a global scale. Make a real impact by connecting people with the care and resources they need to thrive.

Our mission at UnitedHealth Group is to empower healthier lives for everyone. We are committed to overcoming health disparities and ensuring equitable care. As part of our team, you will contribute to this vital mission, fostering an environment of Caring, Connecting, and Growing together.

As a technical lead, you will architect and implement complex AI/ML initiatives from inception to production. This includes developing responsible AI solutions, building reusable service components, and creating AI-driven features such as Generative AI, predictive analytics, and chatbots. You will champion MLOps best practices, drive modern engineering practices like automation and CI/CD, and collaborate with cross-functional teams to align AI solutions with business objectives and enterprise strategy.

You will also create comprehensive architecture diagrams, enforce security and compliance standards, and ensure high-quality software deliverables. Mentoring junior engineers, evaluating emerging AI technologies, and communicating complex concepts to stakeholders are key aspects of this role. Integration into cloud-native and enterprise-scale technology solutions will also be a focus.

We are looking for a Bachelor's degree holder in Computer Science or a related field with over 7 years of software engineering experience, proficient in languages like Python, Java, or Scala. A minimum of 5 years of hands-on experience in building AI/ML solutions, including LLMs and Generative AI, is essential. Experience with LLM-powered solutions, RAG pipelines, and agentic workflows is required.

Candidates should possess experience in the healthcare industry and a strong understanding of architecting cloud-native solutions on Azure. Full-stack engineering skills, solid experience with chatbots, conversational AI, NLP, and a deep knowledge of production operations, security, and monitoring are also necessary. Proven ability to develop scalable backend services using Java (Spring Boot) and modern API frameworks, integrate web applications with modern frontend frameworks like React, and implement agent-based architectures is expected. Experience with Azure's AI capabilities, foundation models, vector stores, and prompt engineering best practices is highly valued.