Principal AI Engineer
Wells Fargo1 day ago
Columbus, OH, USA +2 moreStaff+
Base Salary
$159k - $305k/yr
Responsibilities
- Lead the strategy, architecture, and delivery of enterprise-scale AI, cloud, and modernization initiatives.
- Design, build, prototype, review, and scale reusable AI architectures, platforms, frameworks, and production capabilities.
- Translate business objectives, customer needs, and operational challenges into scalable engineering solutions and measurable outcomes.
- Partner with executives, product leaders, and engineering teams to define AI roadmaps, success metrics, priorities, risks, and implementation strategies.
- Develop or deploy AI-powered tools, chatbots, LLM-based automation, and agentic workflows while addressing AI risks and observability needs.
- Lead executive ideation and AI opportunity discovery sessions, prioritizing high-value use cases and adoption strategies.
- Serve as the senior technical authority for critical platform, data, AI, architecture, and modernization decisions.
- Influence cross-functional initiatives, mentor senior technical talent, establish engineering standards, and drive enterprise adoption of emerging technologies.
Requirements
- 7+ years of engineering experience or equivalent demonstrated through work experience, training, military experience, or education.
- 7+ years of senior engineering experience, including architecture and hands-on delivery of large-scale platforms and systems.
- 4+ years of experience developing or deploying AI-powered tools, chatbots, LLM-based automation, or agentic workflows, including AI risk, observability, and stakeholder communication knowledge.
- 3+ years of hands-on experience with cloud architectures including Google Cloud Platform, Microsoft Azure, AWS, and internal platforms such as Tachyon.
- 3+ years of experience operating with both keyboard-level technical depth and executive-level technical storytelling.
- Preferred experience leading technology strategy and delivery in large, complex enterprises and cloud-native environments.
- Preferred experience evaluating, prototyping, and scaling generative and agentic AI while balancing risk, governance, and responsible AI principles.
- Preferred experience building or scaling enterprise AI platforms, developer frameworks, reusable services, or shared capabilities.
- Preferred experience delivering solutions in highly regulated industries with security, compliance, audit, and risk-management requirements.
- Ability to influence executives and senior technical talent, define business-value metrics and ROI, navigate complex enterprise environments, and drive cross-functional change.
- Ability to work across global teams and travel as needed.
Benefits
- Hybrid work schedule.
- Health benefits, 401(k) plan, paid time off, disability benefits, life insurance, critical illness insurance, and accident insurance.
- Parental leave and critical caregiving leave.
- Discounts and savings, commuter benefits, tuition reimbursement, scholarships for dependent children, and adoption reimbursement.
Tech Stack
Categories
About Wells Fargo
Wells Fargo & Company is a U.S.-based financial services firm providing consumer and commercial banking, mortgages, credit, and wealth/investment services to individuals, small businesses, and enterprises. It earns revenue from interest income and fees across retail banking, payments, lending, and capital markets. Founded in 1852 and headquartered in San Francisco, it is publicly traded on the NYSE (WFC) and operates nationally with offices in multiple countries.