Senior Software 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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Design, develop, and deliver production-grade AI/ML and Generative AI solutions within the OQGA platform, including classification, forecasting, NLP, deep learning, and LLM-powered applications to improve platform efficiency and automation Build and maintain scalable batch and API-based data pipelines, working with large healthcare and quality datasets; write high-quality, testable code in Java, Python (pandas, NumPy), and SQL aligned to enterprise engineering standards Implement LLM-based capabilities, including prompt engineering, fine-tuning, Retrieval Augmented Generation (RAG), vector databases/indexing, evaluation frameworks, and safety/guardrails to ensure secure and production-ready solutions Contribute to LLMOps and DevOps practices, including CI/CD pipelines, model and prompt versioning, experiment tracking, monitoring, drift detection, A/B testing, and cost/performance optimization Collaborate with architects and senior engineers to implement system designs and technical solutions, translating architectural guidance into scalable and maintainable code Analyze business and technical requirements and convert them into efficient, scalable system designs and implementations, considering trade-offs across performance, accuracy, cost, and compliance Partner with Product, QA, and Operations teams to refine requirements, estimate work, and deliver features aligned with Agile development practices Ensure operational excellence by supporting deployment, monitoring, and maintenance of OQGA services across DEV, TEST, UAT/UATP, STAGE, and PROD environments; actively participate in incident resolution and RCA Follow and contribute to engineering best practices for code quality, unit/integration testing, documentation, security, and responsible AI development, delivering reliable solutions within defined timelines Continuously enhance technical skills and contribute to team knowledge sharing, supporting code reviews and collaborating effectively within the OQGA engineering team Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Bachelor's degree with 5+ years OR Master's with 3+ years OR PhD with 2+ years of experience in applied data science or advanced software engineering roles, with hands-on involvement in building and supporting production systems 2+ years of experience in Python, with hands-on experience using modern AI/ML libraries and a demonstrated ability to write clean, maintainable, and production-quality code 2+ years of experience with Java and developing enterprise applications using frameworks such as Spring / Spring Boot, with a good understanding of performance, scalability, and reliability 2+ years of AI/ML programming experience, including hands-on work with LLM frameworks and vector databases (e.g., LangChain, LlamaIndex, LangGraph, or similar) 2+ years of experience designing, developing, and deploying machine learning and Generative AI solutions in