Wells Fargo is seeking a Cybersecurity AI/ML Principal Engineer to focus on AI delivery for the organization in order to remain competitive and innovative.
Requirements
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
Responsibilities
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
Other
This position offers a hybrid work schedule
This position is not eligible for Visa sponsorship
Strong communication skills to work with both technical and non-technical stakeholders
Experience successfully leading cross-functional engineering teams
A BS/BA degree or higher in Computer Science, AI, ML, or related major
