• Solve high-impact problems across product and internal systems, identifying where AI or automation can create real value. • Work closely with engineering, product, and business stakeholders to understand problems, clarify goals, and define the right approach. • Design pragmatic, end-to-end solutions from architecture and technical plans to production-ready systems. • Build systems involving LLMs, integrations, and multi-step or agentic workflows. • Write production-quality code, build prototypes, and evolve them into robust, scalable solutions. • Influence technical direction across teams, define best practices, and help others adopt AI effectively.

Role Description The AI/ML Engineer is a hands-on builder of AI-enabled and agentic solutions for Finance Shared Services. This role develops, deploys, and supports ML models, LLM-based components, and agentic automations that extend the program beyond traditional RPA. The engineer works closely with the Solution Architect, Senior AI/ML Engineer, and delivery team to bring AI capabilities into production with the reliability and governance expected of enterprise Finance systems. - Develop and deploy ML models, LLM-enabled components, and agentic automations supporting Finance Shared Services use cases. - Integrate AI components with UiPath automations using Maestro, AI Center, Document Understanding, and Communications Mining where appropriate. - Partner with Solution Architects and the Senior AI/ML Engineer on architecture alignment, reuse, and standards. - Own responsible model lifecycle practices: evaluation, monitoring, drift detection, and retraining. - Contribute to engineering practice: code review, source control, CI/CD, and testing. - Support production solutions, triage incidents, and deliver root-cause fixes. - Stay current on emerging AI capabilities and surface candidate applications for Finance. Benefits - Medical: Multiple plan options. - Dental: Delta Dental or reimbursement account for flexible coverage. - Vision: Affordable plan with national network. - Pre-Tax Savings: HSA and FSAs for eligible expenses. - Retirement: Competitive retirement package to secure your future. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Requisition Number: 2359757 Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. 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 and build AI-powered features using NLP/LLMs and classical ML for provider chat and voice workflows - Deliver end to end: data preparation, modeling/experimentation, evaluation, API integration, deployment, and monitoring in cloud environments - Implement responsible AI guardrails (content safety, PHI/PII controls, prompt hygiene, evaluation suites) and collaborate with governance/review partners - Develop and maintain web services and APIs that expose ML capabilities; write clear documentation and runbooks - Apply MLOps practices (CI for ML, model registry, reproducible experiments) and contribute to on call/operational support with mentorship - Collaborate with product, architecture, security, data, and platform teams to align with enterprise standards and deliver measurable outcomes - Continuously improve code quality, test coverage, latency, reliability, and cost per inference - Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows and decision-making 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: - 1+ years of total software engineering experience - 1+ years of experience with Python and/or Java programming - 1+ years of experience building and integrating model-backed APIs/services (Python, Node, or Java) into production systems - 1+ years of hands-on experience in AI/ML (e.g., NLP, GenAI, predictive modeling, or recommendation systems) - 1+ years of experience working with AWS cloud and core components (containers/serverless, IAM basics, storage/networking fundamentals, logging/metrics) - 1+ years of experience implementing security, access control, monitoring/alerting, and foundational resiliency/DR concepts for cloud applications - 1+ years of experience with version control, code reviews, automated testing, and CI/CD Preferred Qualifications: - Bachelors degree in Computer Science/related fields or equivalent experience - Exposure to healthcare data/processes *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 $72,800 to $130,000 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. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

• Design and build AI systems behind real, production-grade applications • Own the full path from idea to deployment, including evaluation and observability • Create multi-step agents and tool-using LLM systems • Integrate AI workflows into business-critical environments • Collaborate with engineers, strategists, and designers