
Posted 25 days ago
AI Enablement Engineer - Manager
State StreetCore Data: AI Enablement Engineer - Manager
Requirements
8+ years professional experience, Bachelor's or Master's in Computer Science or AI/ML, Proficiency in Python, Hands-on experience with LangChain and LangGraph, Experience with RAG and vector databases, Experience with Azure OpenAI Service, Familiarity with FastAPI, Knowledge of AI application evaluation frameworks
Skills
PythonLangChainLangGraphgenerative AIRAGAzure OpenAIFastAPISnowflake
About the role
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 to support end-to-end data workflows
- Design prompt engineering strategies for LLMs such as 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 an Azure cloud environment
- 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 experience with a Bachelor's or Master's 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, retrievers) 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 techniques
- Familiarity with FastAPI for building and exposing AI agent APIs
- Knowledge of vector databases such as FAISS, Chroma, or Azure AI Search
- 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 and evaluation
- 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 technology function, Global Technology Services (GTS), drives digital transformation by leveraging advanced technologies like cloud, artificial intelligence, and robotics to deliver critical data and insights to our clients.
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State Street · Bangalore
