As a Sr AI/ML Engineer within Optum Rx, you will contribute to the design, development, and scaling of advanced machine learning systems and artificial intelligence solutions that directly impact pharmacy benefits, patient care, and clinical workflows. You will serve as a senior technical engineer for complex AI/ML initiatives, designing conversational virtual assistants and driving modern engineering practices across cross-functional teams. This role collaborates with enterprise architecture, capability teams, and vendors to architect robust, secure, and scalable solutions for our core conversational chatbot platform utilized by both internal and external stakeholders.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities: - Contribute to the design, development, and production deployment of AI/ML solutions, translating models and algorithms into scalable, secure, and reliable software used in enterprise systems
- Serve as a senior technical engineer for complex AI/ML initiatives, owning end-to-end implementation from design through deployment and operational support
- Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement across teams
- Apply advanced knowledge of machine learning, deep learning, statistics, and experimental methodologies to build high-quality, data-driven solutions
- Partner closely with product, business, and engineering stakeholders to identify high-value use cases and deliver AI solutions that solve real Optum Rx business problems
- Collaborate on AI solution architecture and design with Enterprise Architecture, core capability teams, and major platform vendors (including Microsoft, Palantir, and MongoDB) for core conversational chatbot platforms
- Maintain solution architecture and network architecture diagrams for conversational chatbot platforms utilized by internal and external stakeholders
- Drive modern engineering practices across teams, including automation-first development, code reuse, observability, and CI/CD adoption for AI systems
- Champion MLOps best practices, ensuring models and pipelines are production-ready, monitored, and continuously improved
- Evaluate emerging trends to inform solution design, optimize architecture, and drive strategic enterprise innovation
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.
Required Qualifications: - Bachelor's degree or equivalent experience; 4+ years of software engineering experience may substitute for a degree
- 4+ years of professional software engineering experience using Python, Java, Scala, or similar programming languages
- 2+ years of experience designing, training, and deploying machine learning or deep learning models into production systems
- 2+ years of experience building and managing MLOps frameworks, continuous integration/continuous deployment (CI/CD) pipelines, and containerized deployments (e.g., Docker, Kubernetes)
- 2+ years of experience writing SQL and working with relational or non-relational database systems (such as MongoDB)
Preferred Qualifications: - Master's or PhD degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field
- Experience architecting, designing, and maintaining solution/network architecture diagrams for conversational chatbot solutions, virtual assistants, or natural language processing (NLP) applications
- Experience collaborating with enterprise architecture teams and participating in technical design discussions with cloud and platform vendors (e.g., Microsoft, Palantir, MongoDB)
- Experience with Large Language Models (LLMs), prompt engineering, fine-tuning, and retrieval-augmented generation (RAG)
- Proven understanding of data privacy, model governance, and ethical AI practices within the healthcare sector
- Excellent communication and collaborative problem-solving skills, with a proven ability to support technical initiatives and mentor team members
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $120,100 - $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
