Principal Architect

Wells Fargo

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Charlotte, NCBoston, MA
Employment
Full-time
Posted
13 days ago
Freshness
Confirmed live today
Closes
Nov 30, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $222k
$145k $289k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $193,935–$250,000.

Based on 240 similar postings.

Employer

About Wells Fargo

Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services

Wells Fargo currently has 23 open roles on FindRole.

Listed pay typically runs $159,000–$254,000 across 9 roles with salary data.

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View all roles at Wells Fargo

At a glance

TL;DR · Principal Architect

The Principal Architect joins the Commercial and Corporate & Investment Banking Technology team to shape the architecture strategy and modernization of Global Payments and Liquidity platforms. This role involves defining the technical vision, target-state architecture, and modernization roadmap for critical transaction-processing systems supporting payments, commercial deposits, and treasury services. The architect will lead enterprise-scale transformation initiatives including private and public cloud adoption, platform modernization, application rationalization, API enablement, and event-driven architectures. Key responsibilities include establishing architecture standards, governing design patterns, and leading the adoption of Artificial Intelligence, Generative AI, and intelligent automation. The role requires deep expertise in Wire Transfer, ACH, Real-Time Payments, and ISO 20022. The position solves complex technical challenges within highly regulated environments to improve operational efficiency and resiliency.

What does a Architect earn?

Median $225000 from 45 postings across 26 companies.

See salary data

What you'll do

  • Define the technical vision, target-state architecture, and modernization roadmap for Global Payments and Liquidity platforms.
  • Lead enterprise-scale transformation initiatives involving cloud adoption, platform modernization, and event-driven architectures.
  • Translate complex business challenges into scalable, resilient, and maintainable technology solutions.
  • Establish and govern architecture standards, design patterns, and technology frameworks across the portfolio.
  • Drive the adoption of AI, Generative AI, and intelligent automation to improve operational efficiency and risk management.
  • Influence strategic planning, investment decisions, and technology roadmaps to align with long-term business objectives.
  • Mentor and develop architects and engineering leaders while fostering a culture of technical excellence.
  • Ensure all technology solutions comply with security requirements, regulatory obligations, and industry best practices.

What we're looking for

  • 7+ years of architecture experience, or equivalent demonstrated through work experience, training, military experience, or education.
  • 7+ years of experience developing architecture roadmaps, modernization strategies, and implementation plans aligned to business and technology objectives.
  • 5+ years of financial services experience, including exposure to payments processing, treasury services, commercial deposits, or liquidity management.
  • 1+ years of experience in Global Payments and Liquidity domains, including Wire Transfer, ACH, RTP, ISO 20022, or related transaction-processing platforms.
  • Experience partnering with Product Managers and Product Owners to develop product-aligned architectures and technology strategies (preferred).
  • Experience leading cloud transformation and modernization initiatives across large enterprise environments (preferred).
  • Experience evaluating and implementing AI, Generative AI, and Agentic AI solutions (preferred).
  • Knowledge of AI governance, Responsible AI practices, model lifecycle management, and enterprise AI architecture patterns (preferred).

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