AI Enablement Engineer

Responsibilities

• Develop and maintain AI agent pipelines using LangChain and LangGraph, including ReAct agents and stateful graph execution
• Build and extend RAG pipelines for document ingestion, chunking, embeddings, and vector search
• Integrate AI agents with Snowflake, Azure Blob Storage, PostgreSQL, and REST APIs
• Design prompt engineering strategies such as Chain of Thought (CoT) and few-shot prompting for Azure OpenAI
• Build and expose agent capabilities via FastAPI and contribute to Python-based backend services
• Optimize agent pipelines for performance, reliability, and scalability within Azure cloud environments
• Track and manage AI/LLM experiments using MLflow to ensure reproducibility
• Collaborate with cross-functional teams to translate business requirements into agent-based solutions

Requirements

• 8+ years of professional software engineering experience
• Bachelor's or Master's degree in Computer Science, AI/ML, or a related field
• Proficiency in Python with strong software engineering fundamentals
• Hands-on experience with LangChain (chains, agents, LCEL) and LangGraph (StateGraph, orchestration)
• Solid understanding of RAG, including chunking strategies, embedding models, and vector stores
• Experience with Azure OpenAI Service and advanced prompt engineering
• Familiarity with FastAPI for building AI agent APIs
• Experience in AI application evaluation using frameworks like RAGAS, LangSmith, or Azure AI Evaluation SDK

Preferred Qualifications

• Experience with MLflow for experiment tracking and model versioning
• Experience with LangSmith or LangFuse for agent tracing
• Familiarity with Snowflake for data storage and LLM-integrated workflows
• Knowledge of Docker and Kubernetes for deploying AI services
• Exposure to other agentic frameworks such as AutoGen, CrewAI, or LlamaIndex

About the Company

State Street is a leading global financial services provider. Our Global Technology Services (GTS) function drives digital transformation through advanced technologies like cloud, artificial intelligence, and robotics process automation to deliver critical data and insights to our clients.