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Lead AI Software Development Engineer

https://www.wellsfargo.com/ Logo

Wells Fargo

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Location:
United States, Charlotte

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

Wells Fargo is seeking a highly experienced and motivated Lead AI Software Development Engineer to spearhead the design, development, and deployment of next-generation agentic AI systems within the cybersecurity space. In this role, you will lead a team of AI engineers to build robust, scalable, and ethical AI solutions that automate complex tasks across enterprise workflows.

Job Responsibility:

  • Lead a team of AI engineers, providing technical guidance, mentorship, and support to foster a collaborative and high-performing environment
  • Lead the design, development, and deployment of Generative AI solutions using state-of-the-art RAG and Agentic AI automation techniques
  • Design, code, and document Agentic AI systems that can autonomously perform complex tasks, learn from experience, and adapt to changing environments
  • Develop and maintain robust testing and validation procedures to ensure the quality, reliability, and security of AI solutions
  • Monitor and analyze the performance of AI systems, identifying areas for improvement and implementing optimization strategies
  • Architect and implement RAG pipelines that effectively retrieve, process, and integrate relevant information from diverse data sources to enhance the performance of generative models
  • Conduct research and experimentation to identify and evaluate new AI technologies and techniques that can improve the capabilities of our Generative AI solutions
  • Collaborate with product managers, data scientists, and other stakeholders to define project requirements, develop technical specifications, and ensure alignment with business goals
  • Stay up to date with the latest advancements in Generative AI, RAG, and Agentic AI Automation, and share knowledge with the team
  • Contribute to the development of intellectual property through patents, publications, and open-source contributions
  • Communicate complex technical concepts clearly and effectively to both technical and non-technical audiences

Requirements:

  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 3+ years of experience building and deploying LLM-powered applications
  • 2+ years of experience with AI/Machine Learning (ML) frameworks
  • 2+ years of experience with agentic AI concepts including planning, memory, tool use
  • 2+ years of experience with vector databases, vector search, and chunking strategies
  • 2+ years of experience with GitHub Copilot, OpenAI, or similar model providers
  • Experience with communication protocols like MCP and A2A
  • Proficiency in Python, Java, or additional languages

Nice to have:

  • Strong communication skills to work with both technical and non-technical stakeholders
  • Experience successfully leading cross-functional engineering teams
  • Experience deploying AI models using containerization technologies (e.g., Docker, Kubernetes)
  • Experience with MLOps practices and tools
  • Experience in building and deploying AI solutions for Financial Services
  • Experience with knowledge graphs and semantic technologies
  • Experience with prompt engineering techniques
  • Experience with AI safety and ethical considerations
  • Understanding of cybersecurity concepts in highly regulated environments
  • Understanding of fine-tuning and customizing large language models
  • A BS/BA degree or higher in Computer Science, AI, ML, or related major
What we offer:
  • Hybrid work schedule
  • Equal opportunity employer
  • Inclusive workplace supporting applicants with disabilities
  • Emphasis on strong risk mitigating and compliance-driven culture

Additional Information:

Job Posted:
July 22, 2025

Expiration:
July 31, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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