AI ML Engineer

AI/ML Solutions Architect

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.

Primary Responsibilities:

• Lead the architecture, design, and development of enterprise-scale, AI-enabled applications using advanced AI/ML technologies
• Drive the end-to-end lifecycle of AI/ML solutions, ensuring seamless integration, scalability, performance, and maintainability
• Provide technical leadership across multiple teams, leading architecture and design decisions, code reviews, and engineering best practices
• Lead the creation of comprehensive design documentation and architectural diagrams to clearly communicate system structure, data flow, and integration points across teams and stakeholders
• Mentor and coach junior engineers, fostering a culture of continuous learning, innovation, and technical excellence
• Architect and maintain robust backend services using Python frameworks (e.g., FastAPI, flask), with a solid emphasis on security, performance, and observability
• Build intuitive, accessible, and responsive front-end interfaces using AngularJS
• Design and implement secure, cloud-native solutions on Azure or GCP, leveraging containerization (Docker, Kubernetes) and serverless architectures
• Evaluate existing systems and lead modernization efforts, including migration to microservices and cloud platforms
• Collaborate with Tech Leaders, Product Owners, Scrum Masters, and SMEs to translate complex business needs into scalable technical solutions
• Facilitate technical design walkthroughs and architecture reviews with cross-functional stakeholders
• Define and execute comprehensive testing strategies, including unit, integration, performance, and automated testing
• Take ownership of complex issues across the stack, driving resolution through root cause analysis and cross-functional collaboration
• Act as a self-starter, consistently initiating and driving technical improvements without requiring detailed direction
• Lead incident response and production support efforts, including real-time debugging, root cause analysis, and long-term remediation planning
• DevOps practices, ensuring efficient CI/CD pipelines and infrastructure-as-code (Terraform, GitHub Actions)
• Stay ahead of emerging AI/ML technologies, frameworks, and industry trends to inform solution design and strategic direction
• Drive innovation by exploring and piloting new tools, platforms, and methodologies to improve engineering velocity and solution impact
• Ensure compliance with enterprise policies, including flexibility in work location, team assignments, and security protocols
• 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:

• Bachelors or Master's degree in Computer science, data science, statistics or a related field (Minimum 16 years of formal education, Correspondence courses are not relevant)
• 6+ years of experience in data science, AI/ML, projects including EDA, Model development, tuning and drift analysis
• Hands-on experience in delivering production grade AI/ML projects
• Experience with event-driven architecture (Kafka, Redis) and real-time data processing
• Experience with AI/ML techniques such as NLP, LLMOps, and MLOps practices
• Experience building AI agents and workflows using frameworks like Google ADK, LangGraph, LangChain and OpenAI SDK
• Proven solid communication and Collaboration skills to work effectively in a team environment

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.