What are the responsibilities and job description for the Lead AI Engineer (contract) position at Wells Fargo?
Title: Lead AI Engineer
Location: 1525 W W T Harris Blvd Charlotte, NC
Duration: 6 months
Work Engagement: W2
Work Schedule: 3 days in office/2 days remote
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
Wells Fargo is seeking a Lead AI Engineer to join the Technology & Chief Operating Office (TCOO), supporting the Wholesale Operations Technology (WOT) team. This role focuses on designing and delivering cutting-edge artificial intelligence solutions powered by large language models (LLMs), agent-based frameworks, and modern AI technologies.
The ideal candidate brings strong expertise in Python, Google Agent Development Kit (ADK), and enterprise-scale application development, with hands-on experience in prompt engineering, fine-tuning models, Retrieval-Augmented Generation (RAG), and agentic systems.
Responsibilities:
Design, develop, and deploy AI-driven applications leveraging LLMs, agent frameworks, and emerging AI technologies
Integrate AI/LLM solutions into existing WOT platforms and enterprise systems
Build and maintain scalable applications using Python, Java, OpenShift containers, and related technologies
Lead development of tools for model simulation, monitoring, drift detection, and analytics
Apply prompt engineering, fine-tuning, and RAG methodologies to optimize AI performance
Troubleshoot complex application and model-related issues in production environments
Monitor system performance to improve operational efficiency and mitigate risk
Lead design, development, testing, and implementation of advanced software components and AI models
Resolve high-complexity coding, testing, and platform issues
Ensure compliance with risk management and governance requirements
Collaborate with stakeholders across all organizational levels, including senior leadership
Mentor and guide junior engineers; contribute to technical leadership across teams
Stay current on advancements in AI, LLMs, and agentic frameworks and apply innovations to enterprise solutions
Qualifications:
Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
Proficiency in Python, Java, OpenShift containers, and related technologies
Hands-on experience designing and deploying LLM-based applications
Knowledge of AI/ML concepts, including deep learning, natural language processing, or computer vision
Familiarity with SDLC and Agile tools such as JIRA, GitHub, Jenkins, and Confluence
Experience with LangChain, LangGraph, or Google Agent Development Kit (ADK) (with real-world implementation)
Strong knowledge of Prompt Engineering techniques
Experience working with OpenShift containers
Hands-on experience designing and implementing Retrieval-Augmented Generation (RAG) solutions
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field
Knowledge of chatbots, GPT-based solutions, or Copilot technologies
Experience monitoring model performance, drift, and reliability in production environments
Familiarity with context management, memory handling, and AI safety guardrails
Experience with JavaScript, React, or other front-end technologies
Bachelor’s or master’s degree in computer science, artificial intelligence or a related field (preferred)