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    Job · 19520594

    Wells Fargo logo

    Lead Artificial Intelligence Solutions Consultant

    Wells Fargo · Bengaluru · onsite · Posted 23d ago

    Undisclosed5–10 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Job Summary
    Wells Fargo is seeking a Lead Artificial Intelligence Solutions Consultant who provides flexible/elastic offshore prompt-engineering capacity supporting the applied-AI team. Builds and iterates prompts for point solutions within horizontal toolsets (i.e. copilot, Copilot Studio) and within low code/no code tools i.e. Tachyon AI Studio (claude code/devin if available). Runs rapid experiments and prototype iterations under the direction of the Lead Applied AI Business Architect; and supports evaluation and quality checks.
    Responsibilities
    • Lead a team to identify, strategize and execute highly complex Artificial Intelligence initiatives that span a line of business
    • Recommend business strategy and deliver Artificial Intelligence enabling solutions to solve business challenges
    • Define and prioritize cases, obtain the required resources and ensure the solutions deliver the intended benefits
    • Leverage Artificial Intelligence expertise to evaluate technological readiness and resources required to execute the proposed solutions
    • Make decisions to drive the implementation of Artificial Intelligence initiatives and programs while serving multiple stakeholders
    • Resolve issues which may arise during development or implementation
    • Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
    Required Qualifications
    • 5+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
    • 5+ years of software engineering experience, with strong expertise in designing and delivering enterprise-scale applications and platforms.
    • Expert-level Python programming skills, including: Object-Oriented Programming (OOP), Design Patterns, Multithreading and Asynchronous Programming, API Development (FastAPI, Flask), Scripting and Automation, Performance Optimization and Debugging, Strong experience in Data Engineering and Data Processing, Experience with Spark, Pandas, and distributed data processing frameworks, CI-CD deployments, Agile principles
    • 4+ years of hands-on experience building production-ready Generative AI and LLM-based solutions expertise in: GPT Models and Enterprise LLMs, LangChain, LangGraph, Retrieval-Augmented Generation (RAG), Agentic AI and Multi-Agent Systems, Prompt Engineering, Embedding Models, Vector Search and Semantic Retrieval
    • Experience building enterprise AI applications such as: AI Assistants and Copilots, Intelligent Chatbots, Knowledge Retrieval Platforms, AI-Powered Automation Solutions, Document Intelligence Systems
    • Hands-on experience with vector databases and search technologies such as Pinecone, OpenSearch, FAISS, ChromaDB, or equivalent platforms.
    • Strong understanding of NLP, information retrieval, semantic search, and knowledge management systems.
    • Experience designing and implementing REST APIs, microservices, and cloud-native applications.
    • Strong experience with cloud platforms such as GCP, including AI/ML services and scalable deployment architectures.
    • Experience with database technologies including SQL, NoSQL, Graph Databases (Neo4j), and data modelling.
    • Strong understanding of software engineering best practices, including CI/CD, testing, code reviews, security, observability, and DevOps practices.
    Desired Qualifications Critical Must-Have Skills
    • Python Development Scripting
    • Data Engineering ETL Pipelines
    • Solution Design
    • API Development Microservices
    Intermediate level experience would work with below:
    • Generative AI Large Language Models (LLMs)
    • Agentic AI Multi-Agent Architectures
    • LangChain LangGraph
    • Retrieval-Augmented Generation (RAG)
    • Semantic Search Knowledge Retrieval
    • Vector Databases (Pinecone, OpenSearch, FAISS)
    • Neo4j Knowledge Graphs
    • Databricks / Spark
    • AI/LLMOps Production Deployments

    Sourced from naukri

    Skills

    AutomationAgileclaudeCopilot Studioai assistantscloud platformsapisClaude CodecopilotAgile PrinciplesAsynchronouscloudbusiness strategycomplianceAPI DevelopmentArtificial IntelligenceAutomation Solutions

    About Wells Fargo

    Wells Fargo logo

    Wells Fargo

    Financial Services

    20k+

    employees

    1852

    174 years old

    Bengaluru/Bangalore, Karnataka

    India

    About

    Wells Fargo works to create positive social impact in the communities it serves by supporting housing affordability, small business growth, financial health, and a low-carbon economy.

    Industries

    Financial Services

    Employee ratings

    8,681 reviews

    3.6/ 5

    Culture

    3.5

    Career growth

    2.9

    Work-life

    3.8

    Employees rate it well for

    Work Life Balance1417Work Culture906Senior Management755Salary707Job Security510

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