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.
This ole is a senior, hands on AI/ML engineering position focused on building, enhancing, and integrating Machine Learning and Generative AI solutions within Databricks. Responsibilities include:
- Designing and implementing ML models
- Creating custom embeddings
- Building RAG pipelines
- Implementing vector databases
- Developing agentic workflows with LangChain
- Integrating AI into enterprise applications for Claims Payment Integrity (PI)
The role partners closely with Data Scientists, Product Teams, and Platform Teams to deploy AI-driven intelligence across PI use cases.
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 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/Master's in CS, Engineering, Mathematics/Statistics, or related
- 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 (tools, agents, memory)
- Experience with OpenAI/Azure OpenAI APIs
- 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
- Call Center (Member & Provider)
- Provider RCM
- EHR/clinical datasets
- Healthcare or PI/FWA analytics exposure
