Lead AI Engineer, Wells Fargo

Wells Fargo

Location:
United States, Charlotte

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

119000.00 - 224000.00 USD / Year

Save Job

Apply Position

Job Description:

At Wells Fargo, we are looking for talented people who will put our customers at the center of everything we do. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you. Wells Fargo is seeking a highly skilled and motivated Lead AI Engineer to spearhead the development and implementation of cutting-edge Generative AI solutions. This role will focus on leveraging advanced Retrieval-Augmented Generation (RAG) techniques and Agentic AI Automation to build intelligent, innovative, and impactful applications. The ideal candidate will possess a strong background in AI/ML, a deep understanding of generative models, and proven experience in leading technical projects. You will be responsible for guiding a team of engineers, driving technical direction, and ensuring the successful delivery of high-quality AI solutions.

Job Responsibility:

Lead the design, development, and deployment of Generative AI solutions using state-of-the-art RAG and Agentic AI Automation techniques
Architect and implement RAG pipelines that effectively retrieve, process, and integrate relevant information from diverse data sources to enhance the performance of generative models
Design and build Agentic AI systems that can autonomously perform complex tasks, learn from experience, and adapt to changing environments
Lead a team of AI engineers, providing technical guidance, mentorship, and support to foster a collaborative and high-performing environment
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
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
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:

7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
7+ years of experience in developing and deploying AI/ML solutions in a production environment
3+ years of experience specifically working with Generative AI models (e.g., large language models, diffusion models)
Strong understanding of RAG techniques and experience building RAG pipelines using tools and frameworks such as LangChain, LlamaIndex, or similar
Experience with Agentic AI Automation and building autonomous AI systems
Proficiency in programming languages such as Python, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Transformers)
Experience with cloud computing platforms such as AWS, Azure, or GCP
Solid understanding of data structures, algorithms, and software engineering principles
Excellent problem-solving and analytical skills
Strong communication and collaboration skills
Experience with version control systems (e.g., Git)

Nice to have:

Experience with fine-tuning and customizing large language models
Experience with deploying AI models using containerization technologies (e.g., Docker, Kubernetes)
Experience with MLOps practices and tools
Experience with building and deploying AI solutions for Financial Services
Experience with knowledge graphs and semantic technologies
Familiarity with prompt engineering techniques
Experience with AI safety and ethical considerations

What we offer:

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement

Additional Information:

Job Posted:
July 14, 2025

Expiration:
August 13, 2025

Employment Type:

Fulltime

Work Type:

On-site work

View All Jobs In This Company

Job Link Share:

Lead AI Engineer