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 frequency severity models (Poisson, Negative Binomial, Gamma, Tweedie)

• Apply explainable AI techniques (e.g., SHAP, driver attribution)

• Work hands-on within Azure Data Fabric (One Lake, 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, Async

IO)

• GenAI (LLMs, Prompt Engineering, RAG, Embeddings, Vector Databases)

• Data Analysis & Processing (Pandas, Num Py, PySpark)

Frameworks:
Flask, FastAPI

ML/AI Libraries: scikit learn, Transformers

API Development: REST

Dev Ops:
Docker, Kubernetes, Open Shift

Version Control:
Git

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