Develop and optimize machine learning, generative AI, embedding, and RAG solutions. Build enterprise AI applications using vector databases, semantic search, LLMs, and LangChain. Analyze large datasets, integrate scalable AI pipelines with enterprise systems, improve model performance, and collaborate with data, product, and platform teams. Mentor engineers and interns while communicating technical concepts to stakeholders.
Requisition Number: 2394477
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:
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.
Primary Responsibilities:
- Contribute to experimentation with novel ML and Generative AI architectures
- Create and maintain embedding models (domain-specific embeddings, document/text embeddings)
- Support Retrieval Augmented Generation (RAG) solutions, including semantic search, vector databases, and LLM integration
- Help design and implement AI powered enterprise applications
- Analyze large datasets to identify trends, patterns, and actionable insights
- Partner with AI/ML Engineers and Leads to enhance existing models and improve model accuracy and performance
- Optimize AI pipelines for scalability, performance, reliability, and cost efficiency
- Integrate AI/ML solutions into enterprise systems by partnering closely with data engineering, product, and platform teams
- Collaborate effectively with cross-functional teams and stakeholders, communicating complex technical concepts clearly
- Contribute to skill development for engineers and interns in AI/LLM techniques
- Comply with company policies, procedures, and directives
- Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements
Required Qualifications:
- Bachelor's/Master's in CS, Engineering, Mathematics/Statistics, or related
- 4+ years of relevant experience, including solid ML model development
- Hands-on expertise in Databricks, Spark, Python, Scala, SQL
- LLM & GenAI Skills:
- Creating custom embedding models
- Building RAG pipelines
- Vector DBs & semantic search
- Using LangChain for agentic workflows (tools, agents, memory)
- Experience with OpenAI/Azure OpenAI APIs
- Experience with Azure cloud for compute, security, and resource management
- CI/CD familiarity using Git, GitHub Actions/Jenkins, Terraform
- Proven solid ability to build ML models end to end (data prep → feature creation → training → evaluation)
- Proven excellent communication and partnership skills
Preferred Qualifications:
- Experience with multimodal or transformer-based models
- NLP or enterprise search experience
- Agile/Scrum experience
- Domain knowledge
- Knowledge of Call Center (Member & Provider)
- Knowledge of Provider RCM
- Knowledge of EHR/clinical datasets
- Proven healthcare or PI/FWA analytics exposure
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.
Similar Jobs at Optum
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Designs, develops, and deploys production-grade AI and machine learning solutions, including generative AI, LLM, RAG, conversational AI, vector search, and agentic applications. Builds end-to-end MLOps pipelines, model-serving APIs, governance controls, evaluation frameworks, and enterprise integrations. Optimizes systems for performance, scalability, reliability, cost, and data quality while collaborating with technical and business stakeholders on healthcare and pharmacy benefit solutions.
Top Skills:
APIsAWSAzureAzure Ai ServicesAzure OpenaiCi/CdDockerGCPGithub ActionsJenkinsKubernetesLlmsMachine Learning FrameworksMicroservicesMlopsPythonRetrieval-Augmented Generation (Rag)SQLVector Databases
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Provides hands-on technical leadership for enterprise application engineering, including Java and Spring Boot development, AWS cloud architecture, APIs, microservices, distributed systems, reliability, and production operations. The role modernizes legacy platforms, establishes engineering standards, mentors developers, and applies Generative AI, LLM, RAG, and AI-assisted development practices. Responsibilities include architecture, coding, troubleshooting, security, observability, automated testing, CI/CD, and cross-functional collaboration.
Top Skills:
Ai AgentsAngularApi GatewaysAWSCi/CdCloud-Native ArchitectureDockerGenerative AiGitGithub CopilotJavaKafkaKubernetesLlmsMicroservicesMongoDBNosql DatabasesObservability PlatformsReactRedisRelational DatabasesRest ApisRetrieval-Augmented GenerationSpring BootTypescriptVector Search
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Designs and delivers enterprise AI/ML solutions, including GenAI, agentic AI, LLM, and RAG applications. Builds cloud-native applications, automation workflows, APIs, microservices, and responsive web applications across Azure, AWS, and GCP. Responsibilities include architecture, testing, secure development, CI/CD, troubleshooting, production deployment, and collaboration with cross-functional teams. Mentors junior engineers and drives technical excellence and continuous improvement.
Top Skills:
.NetAgentic AiAngularAWSAzureAzure Ai SearchChromadbCi/CdClaudeCodexCognitive ServicesContainerizationCrewaiCucumberDevOpsEmbeddingsGenerative AiGithub CopilotGoogle Cloud PlatformJavaKafkaLangchainLanggraphLarge Language ModelsMicroservicesMicrosoft 365 CopilotModel Context ProtocolMongoDBNatural Language ProcessingNode.jsOraclePostgresPythonReactRest ApisRetrieval-Augmented GenerationSemantic SearchSpring BootSQLTypescriptVector DatabasesVisual Studio Code
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
