Principal Architect - GenAI and Agentic AI

About this role:

Wells Fargo is seeking a Principal Architect to lead GenAI and Agentic AI solution architecture and governance within the Digital Technology Innovation architecture team.

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

In this role, you will:

• Act as an advisor to senior leadership to develop the architectural framework & delivery for highly complex business and technical needs across multiple groups

• Develop and influence strategic plans, investment planning, and execution on cutover strategies to target

• Strategically engage with all levels of professionals and managers across the enterprise and serve as an architectural domain expert advisor to leadership 

• Drive target investments towards target technologies and rationalize spend, total cost of ownership, and return on investment

• Drive the definition, establishment, selection of strategic tools, and application of architecture frameworks

• Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization and can influence internal and vendor roadmaps in a significant capacity

• Define architectural direction for enterprise AI platform, including:

  • Model platforms

  • AI gateways

  • Agent orchestration frameworks

  • Guardrails and safety controls

  • LLMOps and MLOps capabilities

  • AI observability and monitoring

  • Retrieval-Augmented Generation (RAG)

  • Knowledge Graph and Semantic Layer integration

• Ensure enterprise AI platforms are resilient, scalable, secure, and cost optimized.

• Partner with platform engineering teams to accelerate AI capability onboarding and enterprise adoption.

• Define enterprise standards and architecture patterns for autonomous and semi-autonomous AI agents.

• Drive adoption of agent orchestration frameworks, tool integration patterns, workflow automation, and multi-agent systems.

• Establish governance models for agent lifecycle management, observability, safety, and auditability.

• Lead architecture strategy for agent-enabled business process transformation across Lines of Business.

Required Qualifications:

• 7+ years of architecture experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• 7+ years of Solution Architecture experience delivering architecture specifications, standards and patterns

• 2+ years of Generative AI, Agentic AI, Predictive AI / Machine Learning experience

• 2+ years of AI platform architecture and Enterprise architecture frameworks experience

• 2+ years of AI Technology products evaluation experience

Desired Qualifications:

• Large Language Models (LLMs) and RAG architecture experience

• Multi-agent systems and Agent orchestration frameworks experience

• Hands-on experience with AI governance and control frameworks

• LLMOps / MLOps and AI observability platforms experience

• Devin/Claude Cowork/Cursor/Copilot experience

Job Expectations:

• Willingness to work in aggressive delivery schedule and concurrent multiple priorities and deliver

• This position offers a hybrid work schedule

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$159,000.00 - $305,000.00