Senior Manager AI or ML Engineering

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 inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Develop and implement AI, Machine Learning, and Generative AI strategies, with a primary focus on marketing-related business domains. Knowledge of the end-to-end content supply chain is preferred Collaborate with cross-functional stakeholders to identify, prioritize, and execute AI/ML initiatives that drive business outcomes Design, build, and deploy scalable AI/ML and Generative AI solutions that address complex business challenges Drive innovation through hands-on development and continuous adoption of emerging AI technologies, frameworks, and methodologies Lead the integration of AI/ML capabilities into products and platforms while promoting best practices across the development lifecycle Leverage Agile and DevSecOps practices to enable automated, continuous delivery across the complete AI Development Lifecycle (AIDLC), from code check-in to production deployment Develop and optimize solutions utilizing technologies such as Large Language Models (LLMs), Retrieval Augmented Generation (RAG), AI Agents, Vector Databases, Prompt Engineering, and model fine-tuning Mentor teams and contribute to the development of AI engineering capabilities, standards, and governance Work across cloud environments to architect, deploy, and manage AI solutions on platforms such as AWS, Azure, and GCP Continuously evaluate and implement new tools, languages, frameworks, and approaches to enhance AI/ML solution delivery Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative discipline 12+ years of experience in Software Engineering, Data Science, Analytics, or related fields 8+ years of hands-on experience in AI/ML Engineering or related domains 3+ years of recent experience focused on Generative AI technologies, including: OpenAI Claude Gemini LangChain AI Agents Retrieval Augmented Generation (RAG) Vector Databases Prompt Engineering Model Fine-tuning Technical Skills Solid hands-on expertise in AI, Machine Learning, and Generative AI solution development Experience with AI/ML frameworks and tools such as: MLflow TensorFlow PyTorch Keras Scikit-learn Experience working with cloud platforms including AWS, Microsoft Azure, and Google Cloud Platform (GCP) Deep understanding of Agile delivery methodologies, DevSecOps practices, CI/CD pipelines, and automation across the AI lifecycle Proficiency in Python and/or other programming languages used for AI/ML development and data analysis Preferred Qualifications: Experience in marketing technology, digital marketing analytics, or customer engagement platforms Understanding of content creation, management, and distribution ecosystems across the content supply chain Proven track record of delivering innovative AI-driven products and