[Hiring] Senior AI/ML Engineer @UnitedHealth Group

Role Description

Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together.

You’ll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

• Lead the design, development, and deployment of AI-powered solutions, digital workers, and intelligent automation capabilities that drive measurable business outcomes and operational efficiency.
• Rapidly prototype, validate, and scale emerging AI technologies (Generative AI, Agentic AI, automation, orchestration, and analytics) to address enterprise transformation opportunities.
• Partner with business, architecture, engineering, and operations teams to identify high-value use cases and translate them into production-ready AI solutions.
• Establish and promote AI engineering best practices, reusable frameworks, governance standards, and responsible AI controls to accelerate enterprise adoption.
• Serve as a transformation catalyst by evaluating disruptive technologies, driving innovation pilots, and building strategic capabilities that position the organization for future-state digital operations.

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related technical discipline.
• 7+ years of experience in software engineering. Proven track record developing APIs, microservices, cloud-native architectures, CI/CD pipelines, DevSecOps, and observability.
• 7+ years working on teams using agile and lean coding methodologies, such as pair or mob programming.
• 3+ years of experience building solutions on a Python stack. Hands-on experience with core AI capabilities, such as generative AI, agentic AI, LLMs, vector databases, embeddings, semantic search, and knowledge retrieval.
• Experience integrating AI solutions with enterprise platforms, business workflows, data platforms, and operational systems to deliver measurable business outcomes.
• Demonstrated ability to lead technical workstreams, mentor engineers, drive solution design decisions, and influence adoption of innovative technologies across teams.
• Solid understanding of AI governance, Responsible AI, security, privacy, compliance, and risk management requirements in regulated enterprise environments.
• Strong communication skills for cross-functional collaboration and stakeholder interactions.

Requirements

• Familiarity with MLOps tools and workflows for monitoring prediction accuracy, detecting feature drift, and assessing ongoing model fit and/or degradation.
• *All Telecommuters will be required to adhere to UnitedHealth Group’s Telecommuter Policy.

Benefits

• 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 $91,700 to $163,700 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.