# Principal AI Engineer – Enterprise Generative AI at Wells Fargo

Wells Fargo is hiring a Principal AI Engineer – Enterprise Generative AI. Level rates it Works on AI ●●●○; you can [apply on Wells Fargo](https://jobsbylevel.com/go/fd3f51cd-d8bf-4485-a0d5-12693ea0533a?utm_medium=ai-agent).

AI Level 3, AI centrality 64 out of 100. CHARLOTTE, NC.

## Details

- Company: [Wells Fargo](https://jobsbylevel.com/companies/wells-fargo)
- AI level: AI Level 3 (score 64 out of 100)
- Location: CHARLOTTE, NC
- Posted: October 28, 2026
- Apply: https://jobsbylevel.com/go/fd3f51cd-d8bf-4485-a0d5-12693ea0533a?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=principal-ai-engineer-enterprise-generative-ai-at-wells-fargo-c368c6

## Prepare for this job

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## Description

Wells Fargo is seeking a Principal AI Engineer to serve as a senior technical leader driving the design, scale, and operationalize of enterprise Generative AI solutions across the firm. This role sits at the intersection of AI platform engineering, business use‑case delivery, and risk‑aware execution, and is critical to accelerating initiatives such as DASH (Employee Virtual Assistant), intent routing, and LOB‑embedded GenAI use cases. As a Principal Engineer, you will own end‑to‑end technical strategy, influence architecture across multiple teams, and act as a force multiplier for GenAI adoption through a Forward Deployed Engineering (FDE) model—embedding deeply with business partners while staying aligned with central AI platforms and governance. Key Responsibilities Own and define enterprise‑grade GenAI architectures, including RAG pipelines, agentic workflows, prompt orchestration, and multi‑model routing strategies. Drive production readiness for GenAI solutions, ensuring scalability, resilience, observability, and cost efficiency. Lead complex architectural decisions spanning data ingestion, vector databases, model selection, guardrails, latency optimization, and API scalability. Establish reference architectures and reusable patterns to accelerate GenAI adoption across Lines of Business. Enterprise Use‑Case Delivery (FDE Model) Act as a Forward Deployed Principal Engineer, partnering directly with business and product teams to deliver high‑impact GenAI use cases from ideation to production. Translate business problems into well‑defined AI system designs and NFRs, ensuring measurable outcomes. Troubleshoot and resolve complex production issues across non‑prod and prod environments. Influence platform roadmap by feeding real‑world use‑case requirements back into central AI services (e.g., Tachyon). Governance, Risk & Compliance Ensure all AI solutions align with Wells Fargo risk, cyber, and model governance standards, including AIRR, data protection, and guardrails. Partner with Cyber, MRM, Legal, and Risk teams to design compliant AI patterns without slowing delivery. Embed security, privacy, and ethical AI principles into solution design by default. Organizational Influence & Mentorship Serve as a recognized GenAI expert across the enterprise—regularly consulted by engineering, architecture, and leadership teams. Mentor senior and staff‑level engineers; raise the technical bar across teams. Contribute to internal communities of practice, architecture reviews, and executive‑level technical discussions. Represent Wells Fargo GenAI capabilities in internal innovation forums and knowledge‑sharing sessions Required Qualifications 7+ years of software engineering experience, with significant depth in AI/ML or data‑intensive systems. 2+ Years of experience in Python programming language. 2+ Proven experience designing and delivering production‑scale Generative AI systems in an enterprise environment. 2+ years of experience in: LLMs, prompt engineering, and RAG architecture Vector databases and semantic search API‑driven, cloud‑native architectures Distributed systems and performance optimization Desired Qualifications Strong understanding of non‑functional requirements: security, scalability, resiliency, observability, and cost management. Demonstrated Principal‑level impact: influence across multiple teams, platforms, or business units. Experience operating in highly regulated environments (financial services strongly preferred). Hands‑on experience with agentic AI frameworks and multi‑model orchestration. Prior experience in a Forward Deployed Engineer or embedded engineering model. Ability to communicate complex technical concepts clearly to senior executives and non‑technical stakeholders. Job Expectations Must be based in one of the above locations or willing to relocate at your own expense. Relocation assistance is not available for this position. This position currently offers a hybrid work schedule. This position is

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Source: https://jobsbylevel.com/jobs/principal-ai-engineer-enterprise-generative-ai-at-wells-fargo-c368c6

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Level. https://jobsbylevel.com/jobs/principal-ai-engineer-enterprise-generative-ai-at-wells-fargo-c368c6.

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