Gen AI Engineer

Roles & Responsibilities


Job Description: Senior Data Scientist Predictive Analytics & AI Agents (Azure)


We are seeking a Senior Data Scientist to build predictive and explainable ML models focused on claims utilization analytics and forward-looking forecasts. The role will also design AI agents that enable conversational data insights over enterprise datasets within the Azure Data Fabric ecosystem.


Key Responsibilities
• Build baseline, decomposition, behavioral driver, and forecasting models for utilization and cost
• Develop frequencyseverity models (Poisson, Negative Binomial, Gamma, Tweedie)
• Apply explainable AI techniques (e.g., SHAP, driver attribution)
• Work hands-on within Azure Data Fabric (OneLake, Lakehouse, Fabric Data Science)
• Integrate models with Power BI semantic models
• Design and implement AI/LLM-based agents for conversational querying and insight generation across Azure datasets


Required Skills
• 58+ years in data science or advanced analytics
• Strong experience in insurance / healthcare / benefits analytics
• Proficiency in Python, SQL, ML & statistical modeling
• Experience building AI agents or copilots using LLMs (Azure OpenAI preferred)
• Strong communication skills to translate analytics into business insights


Preferred: Azure ML, Fabric, MLOps, Feature Stores, Responsible AI experience.

Programming Languages:
• Python (Core, OOP, AsyncIO)
• GenAI (LLMs, Prompt Engineering, RAG, Embeddings, Vector Databases)
• Data Analysis & Processing (Pandas, NumPy, PySpark)


Frameworks: Flask, FastAPI


ML/AI Libraries: scikit learn, Transformers


API Development: REST


DevOps: Docker, Kubernetes, OpenShift


Version Control: Git

Salary Range: $100,000 to $140,000 per year