In this role, you will:
- Design, develop and optimize Gen AI applications using agentic frameworks and tools
- Accelerate end to end solution delivery timelines by developing automated data, prompting and evaluation pipelines
- Streamline the enablement of Agentic AI solutions by building solution blueprints, re-usable patterns and identifying process improvements
- Lead AI engineering efforts that drive the design, development, scalability, and evolution of AI-powered products, ensuring AI adoption.
- Research and guide engineering efforts to solve complex engineering challenges and balance accuracy, latency and cost
- Evolve the AI operating model, ensuring seamless integration of AI solutions into business domains while providing horizontal AI governance and infrastructure support.
- Develop automated AI model monitoring frameworks, enabling continuous model updates, explainability, and performance tracking.
- Develop and scale AI platforms leveraging Large Language Model (LLM) services, real time analytics, AI automation, and intelligent decision-making.
- Act as an advisor and collaborate with leadership to integrate AI into existing enterprise systems and cloud platforms to implement innovative and significant business solutions.
- Drive cross-functional collaboration to define AI roadmaps, infrastructure strategies, and product enhancements, ensuring AI capabilities align with business AI strategies.
- Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that require vision, creativity, innovation, and advanced analytical and thinking.
- Maintain knowledge of industry best practices and new technologies and recommend innovations that enhance operations or provide a competitive advantage to the organization.
- Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership.
- Responsible for meticulous governance to address the unique risks posed by GenAI.
- Lead projects, teams, and serve as a peer mentor.
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 backend application software development, with ability to quickly adapt Python code base.
- 2+ years of experience Retrieval-Augmented Generation (RAG), prompt engineering and agentic workflows.
Desired Qualifications:
- Strong expertise in AI model development and deployment with a strong background in LLMs, generative AI, and AI-engineering.
- Deep experience with generative AI models, including model prompting, tuning, and safety best practices.
- Expertise in solution architecture and applying modular design techniques to agentic workflows
- Solid grasp of data and error analysis, identifying issues and patterns throughout the AI pipeline
- Strong expertise in test or eval driven development, ensuring robust and scalable AI software.
- Deep knowledge of AI infrastructure, Generative AI Operations, and enterprise-scale AI adoption strategies.
- Familiarity with enterprise-scale software systems and their integration within large organizations.
- Passion for building AI solutions that deliver a seamless, end-user-focused experience.
- Experience in enterprise AI model lifecycle management, AI compliance, and risk mitigation strategies.
- Strong understanding of human centered AI design for workplace applications.
- Excellent collaboration, communication, and problem-solving skills.
Job Expectations:
- Be Humble: You're smart yet always interested in learning from others
- Work Transparently: You always deal in an honest, direct, and transparent way.
- Take Ownership: You embrace responsibility and find joy in having the answers
- Learn More: You regularly self-educate and improve your skill set.
- Show Gratitude: You show appreciation and respect to those you work with.
- This position is not eligible for Visa sponsorship
- This position offers a hybrid work schedule
- Must be able to work on-site at any of the listed locations
- Relocation assistance is not available for this position
1302 El Camino Real, MENLO PARK, California 94025
300 S Brevard St., CHARLOTTE, North Carolina 28202
1525 W W T Harris Blvd., CHARLOTTE, North Carolina 28262
Pay Range
$144,400.00 - $300,000.00
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit for an overview of the following benefit plans and programs offered to employees.
- 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
5 Jun 2025
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.