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Principal AI Engineer – Enterprise Generative AI

Wells Fargo Irving, TX

Irving, TX

Today

Full time Agentic Ai Ai Agent Ai Platform

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Job Description

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.

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