Lead AI/ML Engineer - Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group•Eden Prairie, MN

20h•$112,700 - $193,200•Hybrid

About The Position

As a Lead AI/ML Engineer within the Consumer Engineering division of the Chief Digital Office (CDO), you will play a critical role in shaping the future of our digital health platforms. This role is designed for a high-performing engineer with strong software fundamentals and a deep passion for building production-ready, scalable AI services. You will focus on the practical application of Generative AI techniques, designing end-to-end solutions that integrate seamlessly into our enterprise ecosystem. By leveraging modern data platforms and cloud-native architectures, you will help bridge the gap between complex machine learning research and reliable, consumer-facing applications that improve the lives of those we serve. 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.

Requirements

Bachelor’s degree or equivalent experience
8+ years of professional software engineering experience delivering high-quality, production-grade commercial applications
4+ years of AI/ML engineering experience, including designing and deploying models at scale
2+ years of experience in a technical lead or architectural role, providing guidance to engineering teams
5+ years of hands-on experience with Python, Java, and SQL
2+ years of experience with cloud-native architectures (specifically AWS, Azure, or GCP)
2+ years of experience with Databricks, PySpark, and large-scale data pipeline implementation
Experience with containerization (Docker/Kubernetes) and building/maintaining enterprise-grade CI/CD pipelines

Nice To Haves

Expertise in Generative AI solutions, specifically utilizing RAG, LangChain, and Vector Databases
Experience with big data technologies such as Spark, Hadoop, and Kafka
Solid knowledge of Infrastructure as Code (Terraform or CloudFormation)
Experience with data governance and platform-level controls (e.g., Unity Catalog, Delta Lake)
Solid foundation in data science principles, including statistics, probability theory, and optimization
Ability to communicate complex technical concepts to non-technical stakeholders and senior leadership

Responsibilities

Lead the design, development, and deployment of complex AI-powered solutions to address enterprise-level business challenges, with a focus on responsible AI practices
Provide technical leadership and architectural guidance to engineering teams building and operating machine-learning models in production environments
Use enterprise-approved AI tools to streamline workflows, automate tasks, and foster a culture of continuous improvement and strategic innovation
Architect and implement scalable AI services, APIs, and pipelines, ensuring they meet rigorous enterprise standards for reliability and performance
Evaluate emerging AI/ML trends and technologies to inform strategic solution design and lead technical innovation across the organization
Establish and mature MLOps practices, including enterprise-grade CI/CD, comprehensive monitoring, and versioning for AI assets
Design and implement sophisticated AI techniques (e.g., NLP, deep learning, predictive modeling) integrated with large-scale data and distributed compute platforms
Ensure all AI solutions strictly adhere to security, privacy, and regulatory standards, upholding the highest principles of responsible AI within a healthcare context
Mentor junior and mid-level engineers, providing code reviews and technical guidance to grow team capabilities
Partner with senior leadership, product managers, and data scientists to align AI initiatives with long-term business goals