Note: The job is a remote job and is open to candidates in USA. UnitedHealth Group is a global organization that delivers care aided by technology to help millions of people live healthier lives. The Director of AI/ML Engineering will play a pivotal role in supporting the Accelerated Core Technology team by developing AI solutions and driving innovation across the enterprise. This position involves leading projects, collaborating with teams, and ensuring the responsible use of AI technologies.
Responsibilities
- Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on the responsible use of AI
- Lead and hands-on build focused, rapid-exploration prototypes and pilot solutions that showcase new AI/ML technologies
- Use approved AI tools to streamline workflows, automate tasks, and drive continuous improvement across the engineering team
- Evaluate emerging trends, specifically in Generative AI and Large Language Models (LLMs), to inform solution design and strategic innovation
- Strategically use AI to solve problems, unlock opportunities, and deliver tangible business value for consumer-facing products
- Integrate AI tools within the development lifecycle, set clear AI adoption goals, and align team capabilities while actively removing technical barriers
- Champion the ethical use of AI by embedding transparency, fairness, and accountability throughout the entire AI lifecycle
- Proactively shape how AI technologies are built, deployed, and utilized within the Consumer Engineering space, serving as a core driver of the team's success
- Collaborate closely with enterprise leadership and cross-functional teams to scale successful AI/ML pilots across the organization
Skills
- Master's degree in Computer Science, Mathematics, Statistics, or a related field
- 5+ years of professional experience working as a software, data, or AI/ML engineer
- 3+ years of experience designing, building, and deploying AI/ML models or AI-powered solutions in a production environment
- 2+ years of experience working with Generative AI frameworks and Large Language Models (LLMs) to build consumer-facing applications or products
- 2+ years of experience leading or managing engineering projects, setting technical direction, or guiding teams in adopting new technologies
- Proven experience working in agile, fast-paced environments with rapid prototyping, exploratory cycles, and managing ambiguity
- Demonstrated capability in piloting new ways of working and scaling pilot technologies to enterprise grade
- Proven solid understanding of cloud-based AI/ML infrastructure (e.g., Azure, AWS, GCP) and MLOps tools
- Proven solid leadership skills with the ability to champion the ethical and responsible use of AI across a broad team
- Proven excellent communication skills with the ability to explain complex technical AI/ML concepts to both technical and non-technical stakeholders
- Experience navigating ambiguity and driving clarity in exploratory, research-oriented technical tasks
Benefits
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution (all benefits are subject to eligibility requirements)
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