Principal AI Engineer – Enterprise Generative AI

Wells Fargo is seeking a Principal AI Engineer focused on enterprise Generative AI. This hybrid role in Irving, TX combines AI platform engineering with forward-deployed delivery of high-impact GenAI use cases, with an emphasis on production readiness and risk-aware governance.

Role Overview

This Principal AI Engineer role is responsible for designing, scaling, and operationalizing enterprise-grade GenAI capabilities. Work spans RAG pipelines, agentic workflows, prompt orchestration, and multi-model routing, alongside architecture and operations that meet non-functional requirements for security, reliability, and cost efficiency.

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 architectural decisions across 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.
• Serve as a Forward Deployed Principal Engineer, partnering with business and product teams to deliver GenAI use cases from ideation to production.
• Translate business problems into well-defined AI system designs and non-functional requirements (NFRs) with measurable outcomes.
• Troubleshoot and resolve complex production issues across non-production and production environments.
• Influence the platform roadmap by feeding real-world use-case requirements back into central AI services, including Tachyon.
• Ensure GenAI 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 delaying delivery.
• Embed security, privacy, and ethical AI principles into solution design by default.
• Act as a recognized GenAI expert across the enterprise and serve as a regular resource for engineering, architecture, and leadership teams.
• Mentor senior and staff-level engineers and 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.
• 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.
• 2+ years of experience in vector databases and semantic search.
• 2+ years of experience in API-driven, cloud-native architectures.
• 2+ years of experience in distributed systems and performance optimization.

Technologies

• Python
• LLMs
• RAG
• Vector databases
• Semantic search
• API-driven architectures
• Cloud-native architectures
• Tachyon

Desired Qualifications

• Strong understanding of non-functional requirements, including security, scalability, resiliency, observability, and cost management.
• Principal-level impact demonstrated through influence across multiple teams, platforms, or business units.
• Experience operating in highly regulated environments, with 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.

Work Location and Eligibility

• Location: Irving, TX (hybrid)
• Must be based in one of the specified locations or willing to relocate at your own expense.
• Relocation assistance: not available.
• Hybrid work schedule: available.
• Visa sponsorship: not eligible for this position.

Application Timeline

Posting end date: 6 Nov 2026. The job posting may come down early due to volume of applicants.