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.
Working in office if based in MSP or DC
Primary 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
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:- 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
Preferred Qualifications:- 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
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
