Wells Fargo Cybersecurity AI/ML Principal Engineer 

United States, New Jersey 

683141646

In this role, you will:

• 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

Required Qualifications:

• 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years of experience building anddeploying LLM-poweredapplications
• 2+ years of experience with AI/Machine Learning (ML) frameworks
• 2+ years of experience with agentic AIconcepts includingplanning, 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 likeMCP and A2A
• Proficiency in Python, Java, or additional languages

Desired Qualifications:

• 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

Job Expectations:

• This position offers a hybrid work schedule
• This position is not eligible for Visa sponsorship

Locations:

• 300 S Brevard St, Charlotte, NC 28202
• 2600 S Price Rd, Chandler, Arizona 85286
• 550 S 4th St, Minneapolis, Minnesota 55415
• 194 S Wood Ave, Iselin, NJ 08830
• 401 Las Colinas Blvd W Bldg A, Irving, TX 75039
• 100 N 18th St, Philadelphia, PA 19103

Salary Ranges:

• $159,000 - $254,000 - Charlotte, NC
• $159,000 - $254,000 - Chandler, AZ
• $159,000 - $254,000 - Irving, TX
• $175,000 - $279,000 - Minneapolis, MN
• $175,000 - $279,000 - Philadelphia, PA
• $191,000 - $305,000 - Iselin, NJ

Pay Range

Wells Fargo Recruitment and Hiring Requirements:

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.