Sr Mgr, Software Engineering AI​/ML – Remote; CST

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 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.

The Engineering Manager will lead a major initiative aimed at enhancing the omni-channel experience for Medicare shoppers seeking health plans tailored to their needs. The engineering team is responsible for designing and implementing an AI-driven architecture that integrates multiple models-ML, GenAI, and LLMs-to support diverse consumer use cases in sales and marketing.

You’ll enjoy the flexibility to work remotely
* from anywhere within the U.S. as you take on some tough challenges.

• Serve as Technology Leader for an external facing Portal application
• Design, develop, and implement models using GenAI (LLMs, agentic frameworks) and/or traditional ML on the cloud
• Write and deploy scalable Python APIs for model inference, optimized for Kubernetes containerization and orchestration of agentic flows
• Lead proof-of-concept experiments in generative AI (transformers, state space models, LLMs) to address business challenges
• Implement and integrate Azure AI Search capabilities to enhance data accessibility and retrieval for analytics and business intelligence
• Collaborate with data engineers, data scientists, software engineers and product managers to translate business requirements into technical solutions and to identify opportunities where data science can add value
• Utilize version control tools such as Git Hub for code management and collaboration, and manage multiple activities in a fast-paced environment while adhering to best practices in coding and documentation
• Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities
• Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle
• 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 direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

• 5 years of experience in Python, with demonstrated proficiency in scikit-learn and/or Databricks
• 5 years of experience designing and deploying cloud-native solutions on Azure or AWS, with emphasis on scalable AI/ML workloads
• 4 years of experience leading teams, managing performance, and driving strategic initiatives
• Proven experience deploying NLP models or LLM-based solutions in production environments with large datasets; solid grasp of core NLP principles
• Experience applying Machine Learning techniques in a commercial enterprise, including supervised, unsupervised learning, time-series forecasting and other statistical analyses
• Experience developing and deploying scalable Python APIs for model inference, including containerization and orchestration using Kubernetes
• Proven solid written & verbal communication skills; including the ability to present detailed analyses to a broad audience
• Ability to be an organized self-starter, with drive and commitment; able to work with little supervision
• Proven solid analytical, quantitative, problem-solving, and critical thinking skills
• Ability to work CST work hours

• Experience architecting and deploying solutions on AWS
• Experience using vision and speech models in GenAI
• Experience in the Healthcare domain

* All employees working remotely will be required to adhere to United Health Group’s Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets,…