Senior Manager AI/ML Engineering

Requisition Number: 2395117
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.
Primary Responsibilities:

• Lead the development and execution of the Virtual Workspace AI and Automation strategy, driving innovation, productivity, operational excellence, and user experience improvements across enterprise digital workplace platforms
• Establish and lead a team responsible for identifying, developing, and deploying AI-powered solutions that automate engineering, operational, and support processes across Citrix, Azure Virtual Desktop, Enterprise Browser, Endpoint, and related Virtual Workspace technologies
• Partner with engineering leaders, product managers, architects, operations teams, and business stakeholders to identify high-value AI use cases and develop scalable automation solutions that improve service quality, reduce operational costs, and accelerate delivery
• Develop AI-enabled capabilities leveraging Microsoft Copilot, Azure AI Services, Large Language Models (LLMs), agentic frameworks, machine learning technologies, and enterprise data platforms
• Drive adoption of software engineering and automation best practices, including API-driven automation, Infrastructure as Code (IaC), workflow orchestration, self-service capabilities, and intelligent remediation
• Lead the creation of operational analytics solutions that transform telemetry, monitoring data, and engineering metrics into actionable insights, predictive capabilities, and automated decision-making
• Follow the established framework for Responsible AI, ensuring compliance with security, privacy, regulatory, and ethical standards
• Build and maintain partnerships with technology vendors, internal AI organizations, cloud providers, and platform teams to accelerate delivery of innovative solutions
• Measure and communicate business outcomes, including productivity gains, operational efficiencies, cost savings, risk reduction, and employee experience improvements
• Recruit, mentor, and develop engineering talent while fostering a culture of innovation, experimentation, learning, and continuous improvement
• Develop and manage the AI and Automation roadmap, aligning investments with organizational priorities and business objectives
• Present strategic recommendations, business cases, and program updates to senior leadership and executive stakeholders
• Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements.

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field, or equivalent experience
• 7+ years of engineering, infrastructure, software development, automation, or technology leadership experience
• 3+ years of leadership experience managing engineering or technology teams
• Experience designing and implementing enterprise automation solutions using Python, PowerShell, REST APIs, workflow platforms, or equivalent technologies
• Experience working with AI technologies such as Generative AI, Large Language Models (LLMs), Microsoft Copilot, Azure AI Services, OpenAI technologies, or machine learning platforms
• Experience leading cloud-based technology initiatives within Azure and/or AWS environments
• Experience managing technology roadmaps, budgets, priorities, and cross-functional delivery programs
• Solid understanding of enterprise security, compliance, governance, and risk management requirements
• Proven excellent communication and executive presentation skills

Preferred Qualifications:

• AI/ML, Azure, cloud, or automation-related certifications
• Experience supporting Virtual Desktop Infrastructure (VDI), Citrix, Azure Virtual Desktop (AVD), VMware Horizon, Enterprise Browser, or Digital Workplace platforms
• Experience implementing AI solutions in IT Operations (AIOps), engineering productivity, automation, observability, or service management environments
• Experience with Azure Machine Learning, DataBricks, Snowflake, Kafka, or enterprise data platforms
• Experience building AI agents, copilots, retrieval-augmented generation (RAG) solutions, or autonomous workflows
• Experience with GitHub, DevOps, Infrastructure as Code, CI/CD pipelines, and cloud-native engineering practices
• Experience leading large-scale digital transformation initiatives

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.