Lead AI Engineer
Wells Fargo1 day ago
Hyderābād, IndiaStaff+
Responsibilities
- Lead the design, development, and deployment of enterprise-scale AI platforms and Generative AI solutions.
- Build scalable Python applications, APIs, microservices, automation frameworks, and distributed systems.
- Design and implement data engineering, ETL/ELT, ingestion, transformation, and orchestration pipelines using Databricks and Spark.
- Architect LLM-based applications using LangChain, LangGraph, RAG, agentic AI, multi-agent systems, embeddings, and prompt engineering.
- Develop knowledge retrieval platforms using semantic search, vector databases, information retrieval techniques, and Neo4j knowledge graphs.
- Deliver enterprise AI applications including copilots, intelligent assistants, chatbots, document intelligence systems, and AI-driven automation.
- Establish engineering standards, AI/LLMOps frameworks, secure development practices, observability, testing, and production deployment processes.
- Collaborate with technology leaders, architects, data engineers, and business stakeholders while mentoring engineering teams and leading strategic initiatives.
Requirements
- At least 5 years of Software Engineering experience or equivalent demonstrated through work experience, training, military experience, or education.
- Preferred 8+ years of experience developing and delivering enterprise-scale applications, platforms, and distributed systems.
- Expert proficiency in Python, object-oriented design, design patterns, asynchronous programming, API development, automation, performance tuning, and debugging.
- Extensive data engineering and large-scale data processing experience, including scalable ETL/ELT pipelines, data ingestion, orchestration, and transformation.
- At least 3 years of experience focused on LLM-based applications and production-grade Generative AI solutions.
- Experience with GPT, enterprise LLMs, LangChain, LangGraph, RAG, agentic AI, multi-agent systems, prompt engineering, embeddings, and semantic retrieval.
- Experience designing enterprise AI applications such as assistants, copilots, intelligent chatbots, knowledge retrieval platforms, document intelligence systems, and automation solutions.
- Deep knowledge of vector databases and retrieval technologies including Pinecone, OpenSearch, FAISS, ChromaDB, and Neo4j knowledge graphs.
- Experience building secure, scalable, cloud-native applications using GCP and associated AI/ML services.
- Expertise in SQL, NoSQL, graph databases, data modeling, and enterprise data architecture.
- Understanding of automated testing, code reviews, observability, security, DevOps, AI/LLMOps, and production deployment practices.
Tech Stack
Categories
About Wells Fargo
Wells Fargo & Company is a U.S.-based financial services firm providing consumer and commercial banking, mortgages, credit, and wealth/investment services to individuals, small businesses, and enterprises. It earns revenue from interest income and fees across retail banking, payments, lending, and capital markets. Founded in 1852 and headquartered in San Francisco, it is publicly traded on the NYSE (WFC) and operates nationally with offices in multiple countries.