Lead AI/ML Engineer - Remote
About The Position
As a Lead AI/ML Engineer on the Optum Rx technology team, you will lead the architectural design, development, and enterprise deployment of advanced machine learning models and AI-driven solutions that transform pharmacy benefit management, medication access, and prescription fulfillment operations. In this role, you will collaborate closely with data science, software engineering, and business leaders to solve complex health technology problems, automate key workflows, and scale robust, secure AI solutions across our digital pharmacy platforms. 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.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field, OR 4+ years of equivalent software engineering experience
- 5+ years of software engineering experience with a strong focus on building, scaling, and deploying machine learning models and AI systems
- 3+ years of experience designing, implementing, and managing production MLOps workflows, ML pipelines, and automated deployment architectures
- 3+ years of experience programming in Python and utilizing core ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
- 2+ years of hands-on experience with cloud platform infrastructure (e.g., AWS, Azure, GCP) and containerization/orchestration technologies (e.g., Docker, Kubernetes)
- 2+ years of experience with big data technology stacks (e.g., Spark) and database systems (SQL/NoSQL)
Nice To Haves
- Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or related quantitative field
- Experience building and deploying Generative AI applications, Large Language Models (LLMs), and retrieval-augmented generation (RAG) patterns in cloud environments
- Experience working with pharmacy benefit management (PBM) data, clinical workflows, healthcare transaction systems, or HIPAA compliance standards
- Solid knowledge of Infrastructure as Code (IaC) tools (e.g., Terraform) and continuous integration/continuous deployment (CI/CD) practices
- Proven leadership experience guiding cross-functional technical projects and mentoring mid-level engineers
Responsibilities
- Design, develop, and deploy scalable, production-grade AI-powered solutions and machine learning architectures to address complex business challenges in pharmacy services, with a strong emphasis on responsible and ethical AI
- Leverage enterprise-approved AI tools, automation platforms, and MLOps practices to streamline software engineering workflows, automate tasks, and drive continuous operational improvement
- Evaluate emerging technology trends, Generative AI models, and machine learning techniques to inform solution design, platform architecture, and strategic enterprise innovation
- Lead the end-to-end lifecycle of machine learning systems, including data engineering, model training, validation, containerized deployment, and real-time model monitoring
- Partner with cross-functional teams, data scientists, and business leaders to translate healthcare requirements into reliable, high-performance AI services and microservices
- Provide technical leadership, architectural guidance, and code reviews, establishing best practices and mentoring engineering team members
Benefits
- comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
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What This Job Offers
Job Type
Full-time
Career Level
Senior
