As a senior AI/ML engineer at Optum, you will be responsible for designing, implementing, and integrating Machine Learning and Generative AI solutions within Databricks. Your role will involve creating custom embeddings, building RAG pipelines, implementing vector databases, developing agentic workflows with LangChain, and integrating AI into enterprise applications for Claims Payment Integrity (PI). You will collaborate closely with Data Scientists, Product Teams, and Platform Teams to deploy AI-driven intelligence across PI use cases. **Key Responsibilities:**
Contribute to experimentation with novel ML and Generative AI architectures
Create and maintain embedding models such as domain-specific embeddings and document/text embeddings
Support Retrieval Augmented Generation (RAG) solutions, including semantic search, vector databases, and LLM integration
Design and implement AI powered enterprise applications
Analyze large datasets to identify trends, patterns, and actionable insights
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
Ensure compliance with company policies and procedures
**Qualifications Required:**
Bachelor's/Master's in CS, Engineering, Mathematics/Statistics, or related field
8+ years of relevant experience, including solid ML model development
Hands-on expertise in Databricks, Spark, Python, Scala, SQL
Experience with Azure cloud for compute, security, and resource management
CI/CD familiarity using Git, GitHub Actions/Jenkins, Terraform
LLM & GenAI Skills: Creating custom embedding models, Building RAG pipelines, Vector DBs & semantic search, Using LangChain for agentic workflows
Experience with OpenAI/Azure OpenAI APIs
Solid ability to build ML models end to end
Excellent communication and partnership skills
**Additional Company Details:**
At UnitedHealth Group, the mission is to help people live healthier lives and make the health system work better for everyone. The company is committed to mitigating its impact on the environment and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in the mission. As a senior AI/ML engineer at Optum, you will be responsible for designing, implementing, and integrating Machine Learning and Generative AI solutions within Databricks. Your role will involve creating custom embeddings, building RAG pipelines, implementing vector databases, developing agentic workflows with LangChain, and integrating AI into enterprise applications for Claims Payment Integrity (PI). You will collaborate closely with Data Scientists, Product Teams, and Platform Teams to deploy AI-driven intelligence across PI use cases. **Key Responsibilities:**
Contribute to experimentation with novel ML and Generative AI architectures
Create and maintain embedding models such as domain-specific embeddings and document/text embeddings
Support Retrieval Augmented Generation (RAG) solutions, including semantic search, vector databases, and LLM integration
Design and implement AI powered enterprise applications
Analyze large datasets to identify trends, patterns, and actionable insights
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
Ensure compliance with company policies and procedures
**Qualifications Required:**
Bachelor's/Master's in CS, Engineering, Mathematics/Statistics, or related field
8+ years of relevant experience, including solid ML model development
Hands-on expertise in Databricks, Spark, Python, Scala, SQL
Experience with Azure cloud for compute, security, and resource management
CI/CD familiarity using Git, GitHub Actions/Jenkins, Terraform
LLM & GenAI Skills: Creating custom embedding models, Building RAG pipelines, Vector DBs & semantic search, Using LangChain for agentic workflows
Experience with OpenAI/Azure OpenAI APIs
Solid ability to build ML models end to end
Excellent communication and partnership skills
**Additional Company Details:**
At UnitedHealth Group, the mission is to help people live healthier lives and make the health system work better for everyone. The company is committed to mitigating its impact on the environment and delivering equitable care that addresses health disparities and improves health
