Requisition Number: 2338926 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. We are seeking an AI/ML Engineer with deep expertise in Generative AI technologies to develop and deploy cutting-edge solutions within the Optum Care Strategic Platform (Facets). The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and frameworks such as LangGraph and LangChain. Strong proficiency in Python along with Software Engineering background using .NET, C#, SQL and API development are essential. This role will involve close collaboration with Claims Operations. 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: - Be able to understand the Facets Delivery, Client priority and requirements - Proven Good in adapting & adopting new technology footprints to optimize business solutions using AI Adoption - Apply a solid understanding of Agentic AI concepts and frameworks such as LangGraph and LangChain to design and implement intelligent, autonomous systems - Utilize expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Transformer architectures to build scalable and high-performing AI solutions - Develop sophisticated generative AI algorithms and models to create new data samples, patterns, or content based on existing datasets and user inputs - Build and maintain robust APIs using frameworks such as FastAPI to enable seamless integration of AI services - Develop secure, maintainable software using C#, .NET, SQL and modern engineering patterns - Deploy AI/ML solutions in production environments, preferably on cloud platforms like Azure - Implement machine learning and natural language processing projects from concept to production - Conduct rigorous model testing, validation, and performance optimization - Containerize AI/ML projects and implement CI/CD pipelines using tools like GitHub Actions - Collaborate with stakeholders to preprocess, analyze, and interpret large-scale datasets - Stay current with emerging trends and advancements in generative AI and ML technologies - Mentor and lead other engineers to reach their potential - Ensure code quality and security by identifying and resolving vulnerabilities - Maintain solid programming practices and standards - Provide timely updates on tasks to reporting supervisor - Adherence to the defined SLA Compliance etc - Provide support and leadership in critical production support issue resolution - Participate in on-call rotations as scheduled - Work with team to achieve timely resolution of all production issues meeting or exceeding Service Level Agreements 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: - Undergraduate degree or equivalent experience - 3+ years of experience in Python programming - 2+ years of software engineering and testing experience in C# / .Net programming language - 2+ years of experience with build, Deploying and manage ML models on cloud platforms such as Microsoft Azure or any other Cloud platform - 2+ years of Database Design/Programming - 1+ years of Terraform scripts understanding - 1+ years of Git action and CI/CD experience needed Preferred Qualifications: - Healthcare Claims EDI Experience - Prompt engineering experience - Experience leveraging Large Language Models (LLMs) - Experience working with various AI/ML infrastructure, tools and platforms across the full stack of AI/ML technology - Experience with the challenges of delivering and monitoring LLM based cloud systems into production - Proven solid communication skills with the ability to explain complex technical concepts to diverse audiences *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.

Role Description We are looking for an experienced MLOps / Cloud Engineer with a strong background in building and operating cloud-based AI/ML platforms in production environments. The role focuses on designing scalable infrastructure, enabling end-to-end ML workflows, and supporting modern GenAI/LLM solutions. Start Date: ASAP Location: Remote (EU-based) Language: English Contract Type: B2B Responsibilities - Design, build, and operate cloud-based AI/ML platforms in production environments - Develop and maintain scalable MLOps pipelines for end-to-end ML workflows - Implement and optimize CI/CD pipelines for ML and software delivery (e.g., GitHub Actions) - Manage and provision infrastructure using Infrastructure as Code (Terraform) - Deploy, manage, and optimize containerized applications using Docker and Kubernetes (EKS) - Work with AWS and Azure services, including ML services (e.g., SageMaker, Bedrock) - Implement monitoring, logging, and alerting solutions (Prometheus, Grafana, Loki, ELK) - Ensure security best practices across cloud infrastructure and CI/CD pipelines - Support model lifecycle management including model registry, performance monitoring, and data quality tracking - Collaborate with cross-functional teams to deliver robust and scalable AI/ML solutions - Analyze existing codebases and suggest improvements and refactoring where needed Requirements - Hands-on experience with AWS and/or Azure cloud platforms - Proven experience with Kubernetes and Docker in production environments - Strong knowledge of Terraform (Infrastructure as Code) - Experience with CI/CD pipelines (e.g., GitHub Actions) - Proficiency in Python and solid understanding of software engineering principles and architecture - Experience with LLM / GenAI solutions and ML platforms (e.g., SageMaker, Bedrock) - Strong understanding of ML concepts and algorithms, with practical implementation experience - Experience with MLOps tooling and architecture (e.g., Kubeflow, model registry, monitoring) - Knowledge of monitoring and logging tools (Prometheus, Grafana, Loki, ELK) - Understanding of security best practices in cloud and DevOps environments Nice to Have - Experience with enterprise-scale projects and environments - Familiarity with advanced Kubernetes features (e.g., operators) - Experience with performance optimization of Docker images - Exposure to tools like Dynatrace

Job Requisition ID # 26WD96514 Position overview We build AI-driven software that helps water and AEC customers make operational decisions, plan and design — via modelling, optimizing, forecasting, simulation, and automation. You’ll work on production ML systems and backend services that integrate with product data via modern APIs and Model Context Protocol MCP tooling. The role blends machine learning data science, LLM agentic workflows and code generation, and software engineering to deliver reliable, scalable functionality to our customers. Candidates are expected to keep current with modern applied AI techniques. Responsibilities - Implement, integrate, and optimize ML systems for forecasting, anomaly detection, simulation surrogates, and decision support. - Build production inference pipelines, APIs, and services - Design LLM applications (RAG, tool-calling, contextual Q&A) and agentic workflows that orchestrate multi-step tasks — including agentic code generation to automate model-driven actions. - Implement MCP routes, schemas, and integrations to connect models with structured product data and tools. - Ensure reliability with CI/CD, unit/integration/performance testing, observability, and monitoring (model drift, metrics, logs). - Collaborate with platform/cloud teams to deploy models and troubleshoot integrations. - Stay current with state-of-the-art AI applications and contribute improvements to models, tooling, and AI engineering practices. Minimum Qualifications - Bachelor’s or Master’s in CS/Engineering/Data Science or equivalent experience. - 5+ years combining software development and AI/ML for production systems. - Experience with ML libraries such as scikit-learn, PyTorch, Ray. - Experience building with APIs, services, containers, CI/CD. - Familiarity with time-series/sensor/simulation data and basic cloud platform services - Good teamwork, independent learning Preferred Qualifications - Data modeling, optimization, RL, numerical simulation - Practical LLM-application experience, vector search, RAG, MCP - Development of multi-tenant SaaS ML systems - AEC or civil industry experience or background Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! Salary transparency Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).

• Partner with product managers and business stakeholders to define technical goals and outcomes for the ML team • Coordinate cross-functional collaboration and delivery for ML subrogation initiatives • Lead the team to deliver cutting-edge ML features using best-in-class software engineering practices • Establish industry-leading standards for ML development and deployment