Lead Full Stack Engineer

Job Summary

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.

ResponsibilitiesAI Solution Development & AIDLC

• Develop and deploy AI-powered applications following AI Development Lifecycle (AIDLC) principles.
• Translate business and product requirements into scalable AI-enabled solutions.
• Contribute to the design, development, testing, deployment, monitoring, and continuous improvement of AI applications.
• Partner with Applied Scientists and AI Engineers to operationalize machine learning and Generative AI solutions.
• Support production readiness, adoption, and operational excellence of AI applications.

Full Stack Application Development

• Develop modern full-stack applications using React, Next.js, TypeScript, Node.js, and Python.
• Build responsive, accessible, and high-performing user interfaces using modern frontend engineering practices.
• Create reusable UI components, libraries, and design patterns that improve consistency and developer productivity.
• Develop REST APIs, GraphQL services, Backend-for-Frontend (BFF) services, and microservice-based applications.
• Build real-time user experiences using WebSockets, Server-Sent Events (SSE), and event-driven architectures.

AI/ML & Generative AI Engineering

• Integrate AI/ML capabilities into enterprise applications and business workflows.
• Develop solutions utilizing:Machine Learning models;Deep Learning models;Large Language Models (LLMs);Retrieval-Augmented Generation (RAG);Vector Search and Semantic Retrieval;Prompt Engineering;Agentic AI workflows.
• Support development of AI copilots, conversational interfaces, recommendation engines, intelligent assistants, and workflow automation solutions.
• Collaborate on model integration, inference services, evaluation frameworks, and AI quality improvements.

Platform Engineering & Production Operations

• Build backend services supporting AI inference, orchestration, and enterprise integrations.
• Develop cloud-native applications and distributed services supporting scalable AI workloads.
• Implement MLOps, LLMOps, CI/CD, deployment automation, and monitoring practices.
• Establish observability through logging, monitoring, tracing, alerting, and operational dashboards.
• Optimize applications and AI workloads for performance, reliability, scalability, and cost efficiency.

Security, Quality & Engineering Excellence

• Implement secure development practices including OAuth, SSO, RBAC, encryption, and enterprise security controls.
• Follow Responsible AI, governance, compliance, and risk management requirements.
• Participate in code reviews, architecture discussions, testing strategies, and quality assurance activities.
• Contribute to reusable engineering frameworks, shared services, and platform accelerators.
• Mentor junior engineers and promote engineering best practices within the team.

Qualifications

• Bachelor's degree in computer science, Engineering, Information Technology, Artificial