Data Engineer With AI/ML

Role Summary
We are seeking a senior, hands-on Al/ML Engineer contractor with expert-level Python skills and proven experience delivering end-to-end agentic Al systems to accelerate development of an enterprise Al platform on Azure Databricks.
This role is a strong individual contributor position, requiring deep hands-on coding and ownership from design through production.
Design and build agentic Al frameworks end-to-end, including planning, execution, memory, tool orchestration, and evaluation (not limited to data preparation or tool integration)
Engineer Databricks Lakehouse / Medallion architectures (Bronze, Silver, Gold) using PySpark, Spark SQL, and Delta Lake
Deliver ML-ready datasets, feature engineering pipelines, and Feature Store implementations that unblock Data Scientists
Own MLOps foundations using Azure ML and MLflow, including training, validation, promotion, monitoring, and retraining orchestration
Integrate ML models and agentic Al workflows into production-grade systems
Operate confidently in PHI/PIl-regulated environments, enforcing security, governance, and compliance Scale delivery rapidly in a fast-moving, scale-up environment
This role requires deep hands-on Python development, strong experience with agent orchestration frameworks (e.g., LangChain, LangGraph, CrewAl, or comparable custom implementations), and a proven record of delivering prod