Cybersecurity AI/ML Principal Engineer, Wells Fargo

Wells Fargo

Location:
United States, Multiple locations (e.g., Iselin, Chandler, Charlotte, Irving, Minneapolis, New York, Philadelphia)

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

159000.00 - 305000.00 USD / Year

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Job Description:

Wells Fargo is seeking a Cybersecurity AI/ML Principal Engineer to lead AI-focused initiatives, designing and deploying Generative AI and Agentic AI solutions while collaborating with various stakeholders and staying updated on the latest advancements in the field.

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:

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 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:

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:
August 21, 2025

Expiration:
September 02, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Cybersecurity AI/ML Principal Engineer