AI/ML Engineer

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.

AI/ML Engineers code and develop software that deploys ML models and algorithms into production. Communicate and present complex analytics results and concepts to leadership and internal stakeholders. Employ AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR).Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. May adapt machine learning to areas such as artificial intelligence, robotics and other products that allow users to have an interactive experience. Work with large scale computing frameworks, data analysis systems. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis, using both general purpose software and statistical languages.

Primary Responsibilities:

• Be able to understand the Facets Delivery, Client priority and requirements
• 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
• Analyzes and investigates
• Provides explanations and interpretations within area of expertise
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• 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 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
• Apply a solid understanding of Agentic AI concepts and frameworks such as LangGraph and LangChain to design and implement intelligent, autonomous systems
• Proven Good in adapting & adopting new technology footprints to optimize business solutions using AI Adoption

Preferred Qualifications:

• 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 
• Healthcare Claims EDI Experience
• Proven solid communication skills with the ability to explain complex technical concepts to diverse audiences

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.