Core Data: AI Enablement Engineer - Manager

Develop and maintain AI agent pipelines using LangChain and LangGraph, including ReAct agents, tool-calling workflows, stateful graph execution and SSE streaming responses. Build and extend RAG pipelines for knowledge-intensive tasks — document ingestion, chunking, embeddings, vector search and LLM-based generation. Integrate AI agents with Snowflake, Azure Blob Storage, PostgreSQL and REST APIs to support end-to-end data workflows. Design prompt engineering strategies (ReAct, CoT, structured output, few-shot) for LLMs such as Azure OpenAI. Build and expose agent capabilities via FastAPI and contribute to backend services in Python. Optimize agent pipelines for performance, reliability and scalability in a cloud (Azure) environment. Track, version and manage AI/LLM experiments using MLflow — including logging parameters, metrics, prompts and model artifacts for reproducibility and comparison. Collaborate with cross-functional teams to identify AI use cases and translate business requirements into agent-based solutions. Ensure AI solutions comply with responsible AI principles and financial services standards.