Optum is a global health organization dedicated to improving lives through technology. Join a team that directly impacts health outcomes by connecting individuals with essential care, pharmacy benefits, data, and resources. We foster an inclusive culture, collaborate with talented peers, and offer comprehensive benefits and career growth opportunities. Contribute to advancing health optimization globally and be part of an organization that values Caring, Connecting, and Growing together.

We are seeking an AI/ML Engineering Manager with expertise in Generative AI, RAG, and MLOps to lead the design, development, and rollout of cutting-edge AI capabilities. This role involves close collaboration with product, business, data, and architecture teams to define and implement impactful AI solutions. Ensuring the performance, scalability, and compliance of AI-enabled applications is paramount. You will champion reusable frameworks, engineering best practices, and drive the execution of engineering roadmaps to enhance delivery efficiency.

Key responsibilities include architecting and delivering AI/ML and Generative AI solutions to address business challenges and optimize operations. You will drive the implementation of enterprise MLOps capabilities, supporting the entire AI lifecycle from experimentation to production. This involves building automated workflows for model training, deployment, monitoring, and version management, along with establishing robust model observability practices. Enhancing reproducibility and governance for datasets, prompts, models, and experiments is crucial. Furthermore, you will collaborate with platform teams to advance CI/CD, Infrastructure-as-Code, and containerization, enabling scalable and cost-efficient AI workloads across cloud environments. Developing and applying standards for responsible and trustworthy AI, alongside assessing emerging technologies for business value, are integral to this role.

Leadership responsibilities encompass mentoring AI/ML engineers, fostering technical excellence and continuous learning. You will coordinate with cross-functional stakeholders to manage priorities, dependencies, and resource needs. Providing transparency into delivery progress, operational metrics, and business outcomes is essential. Influencing AI adoption and engineering maturity across the organization through collaboration and thought leadership is expected. You will also ensure adherence to organizational policies, compliance requirements, security standards, and business practices, maintaining a culture of accountability and integrity.

A Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, Information Technology, or a related field is required, with equivalent experience considered. Significant hands-on experience in AI/ML engineering, software engineering, or data engineering is essential. Proven experience delivering Generative AI, LLM, AI Agent, Copilot, or intelligent automation solutions is necessary. Familiarity with Agile, Scrum, or product-centric delivery models is important.

Candidates must possess hands-on experience with prompt engineering, workflow orchestration, tool integration, and AI solution evaluation. Experience integrating AI solutions with cloud platforms, APIs, databases, and enterprise applications is required. Working knowledge of RAG architectures, embeddings, vector databases, semantic search, and enterprise knowledge retrieval is essential. Familiarity with ML Ops practices, including model deployment, versioning, monitoring, retraining, and lifecycle management, is crucial. Understanding software engineering principles such as source control, automated testing, CI/CD, and release management is expected. A strong grasp of responsible AI, security, governance, compliance, and operational controls for AI solutions is required. Excellent troubleshooting, problem-solving, communication, and stakeholder management skills are a must. Proficiency in Python, including building APIs, services, and enterprise-grade applications, is required.