PAY RANGE:

For NC location only: $119,000.00 - $187,000.00 USD Annual

Benefits:

• Information about Wells Fargo’s US employee benefits
• Information about Wells Fargo’s International employee benefits

APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

WELLS FARGO RECRUITMENT AND HIRING REQUIREMENTS:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process

Required Qualifications:

• 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)

Desired Qualifications:

• 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

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.
Learn more about the career areas and lines of business at wellsfargojobs.com.

In this role, you will:

• 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.

Required Qualifications:

• 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).

Desired Qualifications:

• 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.

Job Expectations:

• Work from core locations at least 3 days a week
• Willing to travel as needed for business purposes
• Relocation assistance is not available for this position

Locations:

• 300 S Brevard St, Charlotte, North Carolina