Lead AI / ML Engineer - Remote
About The Position
This role is a senior, hands‑on AI/ML engineering position focused on building, enhancing, and integrating Machine Learning and Generative AI solutions within Databricks. 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.
Requirements
- Bachelor’s/Master’s in CS, Engineering, Mathematics/Statistics, or related
- 5+ years of experience as a Data Scientist
- 5+ years of relevant experience, including strong ML end to end model development (data prep → feature creation → training → evaluation)
- 5+ years of experience with Python, Scala, SQL
- 3+ years of Databricks, Spark
- 2+ years of experience with 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
- Excellent communication and partnership skills
- Experience with Actuarial, Risk and Forecasting Models
Nice To Haves
- Experience with healthcare claims data
- Experience with Azure, Databricks, Snowflake, LLMs and/or similar tools
- Demonstrated problem-solving, and analytical thinking skills
- Demonstrated organizational skills with ability to be flexible and work with ambiguity
Responsibilities
- 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
- 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
Benefits
- comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
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What This Job Offers
Job Type
Full-time
Career Level
Senior
