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Lead AI Engineer

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Lead AI Engineer in Others new

  • Wells Fargo
  • Full time
  • Email
  • Bengaluru, India

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 for large-scale datasets.
  • Architect LLM, agentic AI, multi-agent, RAG, knowledge retrieval, AI assistant, copilot, chatbot, and document intelligence solutions.
  • Develop knowledge retrieval platforms using semantic search, vector databases, embeddings, graph databases, and information retrieval techniques.
  • Establish engineering standards, best practices, AI/LLMOps frameworks, secure architectures, and production deployment practices.
  • Collaborate with senior technology leaders, data engineers, architects, and business stakeholders on complex technical initiatives.
  • Mentor engineering teams and lead strategic technology initiatives supporting enterprise AI adoption.

Requirements

  • At least 5 years of software engineering experience, or equivalent demonstrated through work experience, training, military experience, or education.
  • Desired: 8 or more years developing and delivering enterprise-scale applications, platforms, and distributed systems.
  • Expertise in Python, object-oriented design, design patterns, asynchronous programming, API development, automation, performance tuning, and debugging.
  • Experience designing scalable ETL/ELT pipelines, data ingestion frameworks, orchestration solutions, and transformation processes using Spark, Pandas, Databricks, or similar platforms.
  • At least 3 years of experience building production-grade LLM-based applications using GPT or enterprise LLMs, LangChain, LangGraph, RAG, agentic AI, multi-agent systems, prompt engineering, embeddings, and semantic retrieval.
  • Experience delivering enterprise AI applications such as assistants, copilots, intelligent chatbots, knowledge retrieval platforms, document intelligence systems, and AI-driven automation.
  • Deep understanding of vector databases and retrieval technologies including Pinecone, OpenSearch, FAISS, ChromaDB, Neo4j knowledge graphs, semantic search, NLP, and information retrieval frameworks.
  • Experience building REST APIs, microservices, and 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 CI/CD, DevOps, automated testing, code reviews, observability, security, Agile methodologies, AI/LLMOps, and production deployment frameworks.

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, an...

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