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Wells Fargo Logo Wells Fargo · IT - Software Development

Principal Applied AI Engineer

United States, Irving Employment contract 159000.00 - 305000.00 USD / Year · Job Posted May 28, 2026
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Job Description

The Cognitive AI Solutions team is building the next generation of agentic AI and process intelligence capabilities for the firm. As our platform matures, partner organizations across the bank are engaging with us to bring agentic AI to their highest-impact business problems. We are seeking a Principal Applied AI Engineer to lead a deep technical engagement with a partner business organization (such as banking operations, complaints, or wholesale operations) to apply these advanced AI capabilities to their most critical production workloads. You will sit at the intersection of two organizations: partnering closely with the business domain team, while remaining a senior architect within the Cognitive AI Solutions team. You will be the senior technical bridge—bringing our platform capabilities into production use within the partner domain and bringing the partner team's domain learnings back into the broader Cognitive AI roadmap. This is a hands-on, architecturally weighty role for a senior engineer energized by driving impact at enterprise scale.

Job Responsibility

  • Partner deeply with the business organization to understand their data, workflows, operator behavior, and where AI can drive measurable improvement in throughput, quality, and customer outcomes
  • Architect and lead the development of foundational and agentic AI capabilities for the partner domain—applying modern modeling techniques, retrieval-augmented architectures, and agentic patterns at enterprise scale
  • Design long-running and multi-step agents that reason over rich enterprise context to deliver measurable business outcomes within a regulated environment
  • Build for production from day one—model evaluation harnesses, drift detection, monitoring, and deterministic deployment patterns that meet the bank's Model Risk Management and AI governance bar
  • Operate across the data and modeling application boundary—deploying models into the modeling environment while consuming data and context from the regulated data platform, in close coordination with the platform team
  • Influence architecture across two organizations—serving as the senior AI voice in the partner team's technical forums and as the domain voice in Cognitive AI Solutions architectural discussions
  • Mentor and uplevel engineers in both organizations on agentic AI, foundational modeling, and applied AI engineering practices
  • Translate technical progress into executive narrative—supporting demos and presentations to senior leadership and partner stakeholders

Requirements

  • 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 applied machine learning / AI engineering experience, including substantial production deployments at enterprise scale

Nice to have

  • Demonstrated experience designing and shipping agentic AI capabilities—multi-step reasoning agents, tool-using agents, long-running agents, or comparable production agentic systems
  • Strong systems engineering instincts—comfortable owning end-to-end model development, evaluation, deployment, monitoring, and iteration
  • Excellent collaboration, technical communication, and problem-solving skills, with a track record of working across large-scale teams and initiatives to ship real business outcomes
  • Prior experience in financial services applications (e.g., banking operations, complaints, wholesale operations) or comparable regulated enterprise domains
  • Experience working under Model Risk Management governance for production model deployment
  • Background with knowledge graphs, vector retrieval, and retrieval-augmented agentic patterns
  • Master's or PhD in a relevant field
  • Experience working in a partner-facing engineering engagement model with business organizations

What we offer

  • 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
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