Sr Manager AI​/ML Engineering

Transform Healthcare Through AI Innovation at Optum

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives.

Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.

Optum AI is United Health Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for healthcare. We develop AI/ML solutions for the highest impact opportunities across United Health Group businesses including United Healthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the healthcare journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform.

As a Senior Manager of AI/ML Engineering, you will lead teams responsible for building and operating scalable machine learning platforms and production ML systems across the enterprise. You will drive the design and implementation of ML infrastructure, model lifecycle management systems, and MLOps platforms that enable reliable experimentation, deployment, monitoring, and governance of machine learning and generative AI models. This role requires solid technical leadership, deep experience in MLOps and cloud-based ML platforms, and the ability to collaborate closely with data science, engineering, and platform teams.

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:

* Lead and scale AI/ML engineering teams responsible for building ML platforms, model pipelines, and scalable AI infrastructure

* Architect enterprise ML and GenAI platforms supporting experimentation, model training, evaluation, deployment, monitoring, and lifecycle management

* Productionize machine learning and generative AI models using batch and real-time inference architectures

* Build and operate MLOps and LLMOps pipelines including CI/CT/CD workflows for model testing, validation, versioning, and promotion across environments

* Develop scalable cloud-native ML infrastructure using Docker, Kubernetes, and cloud ML platforms such as AWS Sage Maker, Azure ML, or GCP Vertex AI

* Implement model monitoring and lifecycle management systems to track drift, latency, bias, and data quality while enabling automated retraining

* Ensure governance, security, and compliance of ML systems including lineage, auditability, reproducibility, and observability

* Partner with data scientists, data engineers, and software engineers to define production ML standards and scalable AI solutions

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 machine learning engineering, MLOps, or AI platform engineering building production ML systems and scalable model pipelines

* 6+ years of experience programming in Python for ML systems with familiarity with frameworks such as PyTorch, Tensor Flow, or scikit-learn

* 5+ years of experience working with ML lifecycle platforms such as MLflow, Kubeflow, Sage Maker, Azure ML, or GCP Vertex AI

* 5+ years of experience building cloud-native ML platforms using Docker, Kubernetes, and distributed systems

* 5+ years of experience working with distributed data processing and orchestration tools such as Spark, Ray, Airflow, Dagster, or Prefect

* 1+ year of experience using AI-assisted development or 'vibe coding' tools such as Codex, Claude Code, Cursor, Windsurf, or similar tools

* 1+ year of experience in Healthcare

* Must be…