Title: Sr. AI/ML Engineer - Shared Services Automation-Remote Location: Rochester, MN Full Time Remote: Yes This position is a 100% remote work. Individual may live anywhere in the US. Job Description: Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights - 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. Responsibilities The Senior AI/ML Engineer is a hands-on builder who owns the highest-complexity agentic and LLM-enabled work in the Finance Shared Services pillar. This role designs and implements multi-agent systems, intelligent document processing at scale, and advanced predictive or generative solutions that extend the program beyond traditional RPA. The Senior AI/ML Engineer mentors AI/ML Engineers, partners tightly with the Solution Architect, and represents the pillar in cross-program AI practice forums. Key Responsibilities: - Lead design and implementation of high-complexity agentic and LLM-enabled solutions, including UiPath Maestro-based orchestration and multi-agent systems. - Build and deploy advanced ML, LLM, and agentic components end-to-end, with production-grade reliability and observability. - Define evaluation, monitoring, and responsible AI practices for pillar solutions, aligned to Mayo Clinic standards. - Partner with the Solution Architect on architecture, reuse, and standards, and with delivery teams on implementation. - Mentor AI/ML Engineers across the pillar and support their growth. - Represent Finance Shared Services in cross-pillar AI practice forums; share patterns with Revenue Cycle and IA Enablement. - Evaluate emerging AI capabilities and drive adoption decisions for the pillar. Qualifications A master's degree in engineering, computer science, mathematics, health science, or a related field with 4 years of experience OR A bachelor's degree with 6 years of experience - Extensive experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries, showcasing an understanding of healthcare technology. - Demonstrated leadership in managing complex projects, with a proven ability to navigate intricate project requirements and deliver successful outcomes. - Proficiency in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders. - Demonstrated expertise in cloud infrastructure environment and software development tools. - Experience working with large, complex, and heterogeneous data sets, preferably in healthcare. - Skilled in AI/ML techniques and frameworks. - Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities. - Demonstrated initiative in administration, education, software development, and technical reporting. - A commitment to mentoring and training less-experienced team members, coupled with strong interpersonal, communication, and time management skills. Preferred Qualifications: - Strong proficiency in Python and modern ML/AI libraries (PyTorch or TensorFlow, LangChain or LangGraph, scikit-learn). - Experience with UiPath Maestro, AI Center, Document Understanding, Communications Mining, or comparable automation AI tooling. - Experience with Azure, GCP or another major cloud platform for AI workloads, including MLOps tooling. - Experience mentoring engineers and shaping technical practice. - Relevant AI certifications (Azure AI Engineer, AWS ML Specialty, etc.). - This position is a 100% remote work. Individual may live anywhere in the US. This vacancy is not eligible for sponsorship / we will not sponsor or transfer visas for this position. Exemption Status Exempt Compensation Detail $141,024 - $204,526.40/ year; Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details Standard Days M-F Weekend Schedule As needed International Assignment No Site Description Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 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. Recruiter Ronnie Bartz

• Design, build, and maintain scalable ML pipelines for training, testing, and deployment • Deploy & maintain machine learning models and ensure their performance, reliability, and monitoring • Collaborate with data scientists and engineers to streamline experimentation and deployment workflows • Implement CI/CD practices for ML systems (ML CI/CD) • Manage and optimize cloud-based infrastructure for ML workloads • Develop monitoring, logging, and alerting systems for model performance and data drift • Ensure reproducibility, versioning, and governance of ML models and datasets • Advocate for best practices in MLOps, DevOps, and software engineering

Title: Lead AI/ML Engineer - Remote Requisition number: 2360711 Job category: Technology Primary location: Raleigh, NC Overtime status: Exempt Travel: No Job Description: 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. The Optum Technology Digital team is on a mission to disrupt the healthcare industry, transforming UHG into an industry-leading Consumer brand. We deliver hyper-personalized digital solutions that empower direct-to-consumer, digital-first experiences, educating, guiding, and empowering consumers to access the right care at the right time. Our mission is to revolutionize healthcare for patients and providers by delivering cutting-edge, personalized and conversational digital solutions. We're Consumer Obsessed, ensuring they receive exceptional support throughout their healthcare journeys. As we drive this transformation, we're revolutionizing customer interactions with the healthcare system, leveraging AI, cloud computing, and other disruptive technologies to tackle complex challenges. Serving UnitedHealth Group's digital technology needs, the Consumer Engineering team impacts millions of lives through UnitedHealthcare & Optum. The Optum Technology Chief Digital Office (CDO) Leadership team is transforming Optum to be an industry-leading Consumer brand. We are on a journey towards delivering a best-in-the-industry consumer experience to our patients and providers by delivering personalized digital solutions that support our consumers throughout their healthcare journeys. This team is transforming to meet the moment - to begin radically altering the way our customers engage with the healthcare system using modern tech to solve some of the most complex problems experienced along the way. Serving all of UnitedHealth Group's digital technology needs, the CDO team is responsible for driving outcomes across nearly 30 million+ human lives with UnitedHealthcare insurance, a number which puts UHC at the top of the pack as the largest managed care provider in the United States. We are looking for a Lead AI/ML Engineer to code and develop software that deploys ML models and algorithms into production. This role communicates and presents complex analytics results and concepts to leadership and internal stakeholders. The role employs AI and/or ML techniques that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR). The engineer applies deep learning technologies to enable computers to visualize, learn, and respond to complex situations, and may adapt machine learning to areas such as artificial intelligence, robotics, and interactive user experiences. The role works with large-scale computing frameworks and data analysis systems. The role is expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning using code for tool building and statistical analysis, using both general purpose software and statistical languages. 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: - Develop and implement AI and machine learning strategies across several healthcare domains - Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives - Develop and maintain strong relationships with stakeholders, customers, and partners internally and externally - Represent Consumer Engineering work and teams across Optum global leadership - Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations - Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/Generative AI where applicable - Create technical specifications and write high-quality, scalable, supportable code; review code of other engineers and mentor them to ensure all quality KPIs are met or exceeded - Demonstrate collaborative skills to work effectively with diverse teams - Possess deep expertise in modern software engineering practices including AI/ML/Generative AI, Agile methodologies, and DevSecOps to deliver daily product deployments using full automation from code check-in to production across the full SDLC lifecycle - Serve as a role model by leveraging these techniques to optimize solutioning and product delivery - Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery - Provide leadership and be accountable for the performance of managers and/or senior-level professional staff - Drive impact at the operational, local business unit, or market level 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: - Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related discipline - 14+ years of experience in Software Engineering, Data Science, or Analytics, with at least 8 years in AI/ML engineering or related fields and the last 3 years focused on Generative AI technologies including OpenAI, Claude, Gemini, LangChain, Agents, RAG, Vector Databases, Prompt Engineering, and fine-tuning - Experience with AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, and Scikit-learn - Experience with cloud platforms such as AWS, Azure, and GCP - Experience with DevOps and CI/CD tools and practices including Git, Jenkins, Docker, and Kubernetes - Demonstrated experience leading and managing AI/ML teams and projects from ideation to delivery and evaluation - Hands-on experience in AI and driving the development of innovative AI and machine learning solutions - Proficiency in Python or other programming languages for data analysis and AI/ML development - Proven expertise in AI/ML techniques including deep learning, natural language processing, computer vision, recommender systems, reinforcement learning, and large language models Preferred Qualifications: - PhD in AI / ML, Engineering, Mathematics, Statistics, or a related discipline - Experience working with cross-functional and distributed teams in a global and diverse environment - Experience in mentoring, coaching, and developing AI/ML talent - Experience in establishing and enforcing AI/ML best practices, standards, and ethics - Experience in Realizing Value from AI/ML products as well as production ready product. - Proven history of delivering high-impact AI/ML solutions for real-world problems and use cases - Proven background in healthcare (AI) - Proven portfolio of AI/ML publications, patents, or awards - Proven excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concepts to both technical and non-technical audiences - Proven solid analytical, problem-solving, and decision-making skills, with the ability to balance innovation and pragmatism - Proven passion for learning and staying updated with the latest AI/ML trends and research - 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 $112,700 to $193,200 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. #OptumTechPJ

Title: AI/ML Engineer - Revenue Cycle Automation-Remote - Rochester, MN - Full Time - Remote: Yes Job Description: Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights - 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. Responsibilities The AI/ML Engineer, a full-stack AI/ML architect for the Revenue Cycle pillar, responsible for both agentic solutions (UiPath Maestro, LLM orchestration, agent + bot + human-in-the-loop patterns) and predictive ML solutions. This role sets the AI architecture direction for Revenue Cycle, defines reference patterns, and collaborates with delivery teams to bring solutions from prototype to production. The ideal candidate is equally comfortable designing an agentic orchestration topology and shipping a production ML model. Key Responsibilities: - Architect full-stack AI/ML solutions for Revenue Cycle, spanning agentic orchestration (UiPath Maestro, LLM agents, RPA bots, human-in-the-loop) and predictive ML. - Define reference architectures, design patterns, and guardrails for AI use in Revenue Cycle, in partnership with enterprise architecture, security, and data governance. - Lead design of high-complexity solutions such as agentic patient portal inbasket management, combining UiPath Maestro, AI agents, RPA bots, and human-in-the-loop oversight. - Develop, evaluate, and productionize ML models using Python, modern ML libraries, and Mayo Clinic's approved cloud and data platforms. - Partner with delivery leads, app analysts, and business analysts to translate Revenue Cycle opportunities into AI-enabled solutions with measurable ROI. - Establish standards for model lifecycle management, monitoring, bias and drift evaluation, and responsible AI practice aligned to Mayo Clinic policy. - Evaluate emerging AI capabilities (new LLM models, agentic frameworks, UiPath releases) and guide when and how to adopt them. - Mentor AI/ML engineers and developers across the program; contribute to enterprise AI community of practice. Qualifications A master's degree in engineering, computer science, mathematics, health science, or a related field and 1 year experience, OR A bachelor's degree with 3 years of experience. - Experience applying AI and machine learning in production environments or similar highly regulated or technology focused industries, showcasing an understanding of healthcare technology. - Skill in cloud infrastructure environment and software development tools. - Experience working with large, complex, and heterogeneous data sets, preferably in healthcare. - Skill in AI/ML techniques and frameworks. - History of collaborating across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders. - Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities. - Strong interpersonal, communication, and time management skills. Preferred Qualifications: - Professional experience in AI/ML engineering, solution architecture, or a combined architect/engineer role. - Proven experience designing and delivering agentic or LLM-enabled solutions in production environments. - Proven experience building and deploying predictive ML models end-to-end, including feature engineering, evaluation, and monitoring. - Strong proficiency in Python and modern ML/AI libraries (scikit-learn, PyTorch or TensorFlow, LangChain, LangGraph or equivalent). - Working experience with UiPath (Studio, Orchestrator, Maestro, Document Understanding, AI Center) or Google Cloud Platform - Hands-on experience with Azure (preferred) or other major cloud platforms for AI workloads, including MLOps tooling. - Experience defining reference architectures, design patterns, and technical standards at enterprise scale. - This position is a 100% remote work. Individual may live anywhere in the US. This vacancy is not eligible for sponsorship / we will not sponsor or transfer visas for this position. Exemption Status Exempt Compensation Detail $116,043 - $142,147 / year; Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details Standard Days M-F Weekend Schedule As Needed International Assignment No Site Description Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 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.