The Role
Design, build, deploy, and operate AI-powered full-stack applications following an AI Development Lifecycle. Implement frontend (React/Next.js/TypeScript) and backend (Node.js/Python) services, integrate LLMs, RAG, vector search, and MLOps/CI-CD pipelines, ensure security, observability, and production readiness, and mentor engineers.
Summary Generated by Built In
Requisition Number: 2369781
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're looking for a hands-on Senior Full Stack AI Engineer to design, develop, deploy, and support AI-powered applications using an AI Development Lifecycle (AIDLC) approach. This role combines expertise in AI/ML engineering, Generative AI, modern frontend development, backend engineering, and cloud-native platforms to deliver scalable, secure, and production-ready applications.
The ideal candidate will have a solid foundation in AI/ML engineering and full stack application development, with expertise in React, Next.js, Node.js, Python, and AI-powered application integration. You will work closely with Applied Scientists, Product Teams, Data Engineers, Platform Engineers, and Lead AI Engineers to operationalize AI capabilities and deliver impactful business solutions.
Primary Responsibilities:
Required Qualifications:
Preferred Qualifications:
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.
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're looking for a hands-on Senior Full Stack AI Engineer to design, develop, deploy, and support AI-powered applications using an AI Development Lifecycle (AIDLC) approach. This role combines expertise in AI/ML engineering, Generative AI, modern frontend development, backend engineering, and cloud-native platforms to deliver scalable, secure, and production-ready applications.
The ideal candidate will have a solid foundation in AI/ML engineering and full stack application development, with expertise in React, Next.js, Node.js, Python, and AI-powered application integration. You will work closely with Applied Scientists, Product Teams, Data Engineers, Platform Engineers, and Lead AI Engineers to operationalize AI capabilities and deliver impactful business solutions.
Primary Responsibilities:
- AI 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
- 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
- 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:
- Bachelor's degree in computer science, Engineering, Information Technology, Artificial Intelligence, Data Science, or related field
- 8+ years of experience in software engineering, AI/ML engineering, or full stack application development
- Hands-on experience with:
- Machine Learning models
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- Semantic Search
- Agentic AI concepts and workflows
- Experience integrating AI/ML capabilities into applications and business workflows
- Experience developing APIs, microservices, and Backend-for-Frontend (BFF) architectures
- Experience with MLOps, deployment automation, CI/CD pipelines, and monitoring solutions
- Experience working with cloud platforms such as Azure, AWS, or GCP
- Solid experience building enterprise applications using React, Next.js, TypeScript, Node.js, and modern frontend technologies
- Solid understanding of application security, observability, performance optimization, and reliability engineering
- Understanding AI Development Lifecycle (AIDLC), SDLC, and production engineering practices
- Proficiency in Python and backend frameworks such as FastAPI, Flask, or Django
- Proven solid analytical, problem-solving, communication, and collaboration skills
Preferred Qualifications:
- Experience developing AI copilots, conversational AI applications, and intelligent automation solutions
- Experience with AI application frameworks such as LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, or similar technologies
- Experience with vector databases and retrieval platforms including Pinecone, Weaviate, ChromaDB, pgvector, Azure AI Search, or equivalent solutions
- Experience with Databricks, Snowflake, Kafka, Spark, and modern data platforms supporting AI applications
- Experience building reusable UI frameworks, component libraries, and design systems
- Experience developing event-driven and real-time applications
- Experience contributing to technical design reviews, engineering standards, and application modernization initiatives
- Experience working within healthcare, financial services, insurance, or other regulated industries
- Solid understanding of frontend performance optimization, accessibility standards, SSR/ISR, and responsive design principles
- Familiarity with Docker, Kubernetes, Infrastructure-as-Code, and cloud-native deployment practices
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.
Skills Required
- Bachelor's degree in Computer Science, Engineering, IT, AI, Data Science, or related field
- 8+ years of experience in software engineering, AI/ML engineering, or full stack application development
- Hands-on experience with Machine Learning models, Deep Learning models, and Large Language Models (LLMs)
- Hands-on experience with Retrieval-Augmented Generation (RAG), Prompt Engineering, Semantic Search, and Agentic AI concepts
- Experience integrating AI/ML capabilities into applications and business workflows
- Experience developing APIs, microservices, and Backend-for-Frontend (BFF) architectures
- Experience with MLOps, deployment automation, CI/CD pipelines, and monitoring solutions
- Experience working with cloud platforms such as Azure, AWS, or GCP
- Solid experience building enterprise applications using React, Next.js, TypeScript, and Node.js
- Proficiency in Python and backend frameworks such as FastAPI, Flask, or Django
- Solid understanding of application security (OAuth, SSO, RBAC, encryption), observability, performance optimization, and reliability engineering
- Understanding of AI Development Lifecycle (AIDLC), SDLC, and production engineering practices
- Proven analytical, problem-solving, communication, and collaboration skills
- Experience developing AI copilots, conversational AI, and intelligent automation solutions
- Experience with AI application frameworks such as LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, CrewAI
- Experience with vector databases and retrieval platforms (Pinecone, Weaviate, ChromaDB, pgvector, Azure AI Search)
- Experience with Databricks, Snowflake, Kafka, Spark, and modern data platforms
- Experience building reusable UI frameworks, component libraries, and design systems
- Experience developing event-driven and real-time applications
- Experience working within healthcare, financial services, insurance, or other regulated industries
- Familiarity with Docker, Kubernetes, and Infrastructure-as-Code
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The Company
What We Do
Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
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Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.
Typical time on-site:
Not Specified
