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 :
- Generative AI & Multi-Agent SystemsDevelop and integrate Agentic AI systems using frameworks like ReAct, Human-Inthe-Loop, and multi-agent orchestration toolsCollaborate with AI researchers to implement Google ADK, Anthropic MCP, and other cutting-edge agentic AI solutionsApply prompt engineering, evaluation frameworks, and observability tools to monitor and improve model performance
- Backend Development & API DesignDesign, develop, and maintain scalable backend systems using Python and FastAPI, with a focus on asynchronous programming for high-performance AI applicationsImplement RESTful APIs and MCP servers to support AI-driven services and multi-agent frameworks
- Cloud Infrastructure & DeploymentArchitect and deploy AI solutions on GCP, Azure, or AWS, ensuring reliability, scalability, and cost-efficiencyManage cloud resources, including compute, storage, and networking, tailored for generative AI workloads
- Database ManagementIntegrate and optimize vector databases (e.g., Redis, ChromaDB) for semantic search and embedding storageWork with SQL and NoSQL databases to support metadata, logging, and auxiliary data needs
- Containerization & OrchestrationBuild applications using DockerDeploy and orchestrate services using Kubernetes, ensuring high availability and fault tolerance
- Performance OptimizationConduct load testing, profiling, and performance tuning of backend systems to meet latency and throughput requirementsImplement caching, batching, and parallel processing strategies for efficient AI inference
- DevOps & CI / CDMaintain CI / CD pipelines for automated testing, deployment, and rollbackEnsure smooth integration of new features and models into production environments
- Monitoring & LoggingUse Splunk and other observability tools to monitor system health, diagnose issues, and ensure uptimeImplement structured logging and tracing for debugging and analytics
- AI Governance & EthicsEnsure compliance with ethical AI practices, including bias mitigation, transparency, and data privacyContribute to the development and enforcement of AI governance frameworks
- Collaboration & Problem SolvingWork closely with cross-functional teams including data scientists, ML engineers, and product managersTackle complex technical challenges in cloud deployment, backend optimization, and AI integration
- 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 :
BE / BTECH / MTECHExtensive Experience Generative AI in - Agentic AI, LLMs, Google ADK, Anthropic MCP, multi-agent frameworks. Prompt engineering, Evaluation frameworks, ObservabilityExtensive experience with Python programming and FastAPI (asynchronous implementation)Hands-on experience with Cloud platfotms, GCP, Azure, or AWS for deploying AI applicationsSolid proficiency in databases : Knowledge of vector databases (e.g., Redis, ChromaDB) and traditional SQL & NoSQL databasesSolid understanding of API design principles and experience in integrating third-party APIsProficient in Performance Optimization : Skilled in conducting performance testing and enhancing backend systems for improved efficiencyProven solid problem-solving skills and ability to work effectively in a fast-paced, collaborative environmentProven excellent communication and interpersonal skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholdersProven ability to work independently and as part of a team, managing multiple priorities and delivering results within deadlinesPreferred Qualifications :
Experience with containerization and orchestration tools like Docker and KubernetesHands-on experience with DevOps practices, including CI / CD, version control (e.g., Git), and deployment automationExperience in Classical ML & Deep learningKnowledge of ReAct, Human-in-the-loop etc. frameworks for multi-agent AI systemsUnderstanding of ethical AI practices and governance frameworksProficiency in Splunk for logging and diagnosticsAt 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.