As a Senior Manager of AI/ML Engineering within Optum Technology, you will lead high-performing engineering teams in building, scaling, and operationalizing cutting-edge artificial intelligence and machine learning solutions across the enterprise. In this role, you will drive strategic technical initiatives, leverage modern MLOps practices, and foster responsible AI innovation to address complex healthcare challenges.
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: - Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
- Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
- Evaluate emerging trends to inform solution design and strategic innovation
- Lead and manage engineering teams in designing, implementing, and maintaining scalable AI/ML pipelines, models, and platforms
- Establish MLOps best practices for model deployment, monitoring, continuous integration, and performance tuning at enterprise scale
- Partner with cross-functional technical leaders, product managers, and business stakeholders to define technical roadmaps and deliver business value
- Mentor, coach, and support professional growth for team members while advocating for architectural quality and engineering excellence
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: - 8+ years of experience in software engineering, data engineering, or machine learning engineering
- 5+ years of hands-on experience developing, scaling, and deploying machine learning models or AI solutions in production environments
- 3+ years of technical leadership or direct people management experience driving engineering deliverables
- 3+ years of experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-native AI/ML frameworks/architectures
- 3+ years of experience implementing MLOps frameworks, automated CI/CD pipelines, and model monitoring tools
Preferred Qualifications: - Master's or Ph.D. degree in Computer Science, Data Science, Machine Learning, Data Analytics, or related technical field
- Proven track record of operationalizing Generative AI, Large Language Models (LLMs), or advanced deep learning architectures
- Experience in healthcare technology, HIPAA compliance, or working with complex healthcare datasets
- Solid knowledge of responsible AI frameworks, bias mitigation, and model governance practices
- Excellent communication and stakeholder management skills with experience articulating technical concepts to non-technical executives
*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 $148,900 - $255,300 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.
