• Understand business cases to evaluate potential solutions, leveraging ML and AI to address complex challenges • Analyze large, complex data sets to translate them into actionable insights • Simplify data sets to solve a wide array of challenging problems using analytical and statistical approaches • Perform the preparation and preprocessing of both structured and unstructured data to ensure model accuracy and effectiveness • Design, develop, implement, and test both descriptive and predictive ML models, focusing on quality, accuracy, and consistency • Convert data into meaningful insights and present information using advanced data visualization tools and techniques • Deploy models into production environments and be responsible for model management (MLOps) • Mentor machine learning engineers and junior machine learning engineers in the AI/ML team.

• Define and own the ML strategy and technical roadmap for Gather AI, aligned with product and business objectives • Lead and grow the Machine Learning and FPT teams, establishing a culture of rigor, experimentation, and production-quality delivery • Drive improvements to core computer vision models (object detection, segmentation, OCR) used across our drone and MHE Vision products • Build out MLOps infrastructure — model training pipelines, deployment, monitoring, and CI/CD for ML workloads • Collaborate with the Director of Cloud Engineering and Director of Autonomy to ensure ML systems integrate seamlessly into the broader platform • Partner with Product and Operations to translate customer needs into ML-driven product capabilities

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.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description JS Held’s Forensic engineering practice is seeking a Professional Engineer for its Vehicle Accident Reconstruction office. The ideal candidate for this position has a strong background in roadway construction and/or design. Drainage installation and/or modeling (hydrology and hydraulics) expertise is emphasized. Other areas of experience and knowledge that would be beneficial include: - Roadway maintenance - Asphalt paving - Traffic signalization - Maintenance of Traffic Candidates should have an aptitude for evaluating roadway plans, contractual requirements, specifications, and applicable standards as well as physical roadway defects such as: - Pavement failure - Ponding water - Shoulder edge drop-offs - Intersection site distances - Temporary traffic control deficiencies Candidates should feel comfortable working in a fast-paced and collaborative consulting environment which requires a high degree of self-motivation, professionalism, organization, responsiveness, and resilience to stress. Job Responsibilities - Provide forensic engineering analysis of cases involving roadway defects or roadway issues that may be a contributory cause to a crash or an incident. - Assist clients and other team members with cases involving roadway issues that may be related to a vehicle crash or bicycle/pedestrian incident. - Analyze roadway plans, daily work reports, specifications, and other documents that may pertain to a vehicle accident or other event associated with a litigation matter, such as a drowning or a fall. - Conduct field investigations including surveys and photographs. - Provide technical findings, analysis, and conclusions, either verbally or in writing, in a timely fashion and in laymen’s terms. - Travel for field work. - Maintain communication with client and project team on status and scope of assigned projects. - Maintain technical and professional knowledge related to your practice area(s) through attending continuing education courses and workshops, attending industry/practice related seminars, reviewing relevant scientific and professional publications, and participating in professional organizations and societies. - Continuously meet or exceed assigned performance metrics and goals. Qualifications - Licensed Professional Engineer - A minimum of 2 to 5 years experience in traffic signalization, roadway construction and/or roadway design - Advanced Training in Maintenance of Traffic (aka Temporary Traffic Control) - Working knowledge and experience with the Manual on Uniform Traffic Control Devices - Working knowledge and experience with the American Association of State Highway and Transportation Officials (AASHTO) Guide on Geometric Design - Intimate knowledge of a Department of Transportation including their policies, practices, and applicable - Strong written and verbal communication skills; public speaking experience is desirable - Strong organizational skills and attitude to deliver results - Mathematically and technologically inclined with the ability to adapt to new environments or scenarios quickly - Skilled with software and technical systems - Willingness and ability to obtain additional licensure and certification as needed - Willingness to develop into a testifying Expert - Willingness to train and learn the field of crash reconstruction - Willingness and desire to work above and beyond the minimum performance and goal requirements Requirements - Ability to work remotely or while travelling to different job sites (reliable cellular service, access to high-speed data, etc.) - Must be able to travel to different regions (have reliable transportation, etc.) Benefits - Flexible work environment allows employees to work remotely, when needed - Flexible Time Off policy - Medical, Dental, and Vision Insurance - 401k Match - Commuter Benefit - A reasonable estimate of the salary range for this role is $100,000- $150,000