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Principal AI Engineer – Enterprise Generative AI
Wells Fargo. Serve as a senior technical leader driving the design, scale, and operationalization of enterprise Generative AI solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and operationalizing enterprise-grade Generative AI solutions, with a strong focus on architecture, scalability, and compliance in highly regulated environments. Proven ability to translate complex business problems into effective AI system designs while mentoring engineering teams and driving GenAI adoption.
Highest-signal resume keywords
Generative AI Solutions DesignPython ProgrammingRAG ArchitectureAPI-Driven Cloud-Native ArchitecturesSecurity and Compliance in AI
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
AI/ML SystemsProduction-Scale Generative AIVector DatabasesPrompt EngineeringDistributed SystemsPerformance OptimizationAgentic AI FrameworksMulti-Model OrchestrationData IngestionLatency Optimization
Soft Skills
Clear CommunicationMentoring
Industry Keywords
Financial ServicesRisk GovernanceCybersecurityData ProtectionCompliance Standards
Tech Stack
Tools & technologiesCloudDistributed SystemsPython
About the role
Key responsibilities & impact- Serve as a senior technical leader driving the design, scale, and operationalization of enterprise Generative AI solutions
- Own end-to-end technical strategy and influence architecture across multiple teams
- Drive GenAI adoption through a Forward Deployed Engineering model
- Define enterprise-grade GenAI architectures, including RAG pipelines, agentic workflows, prompt orchestration, and multi-model routing
- Drive production readiness, scalability, resilience, observability, and cost efficiency
- Lead architectural decisions involving data ingestion, vector databases, model selection, guardrails, latency optimization, and API scalability
- Establish reference architectures and reusable patterns across Lines of Business
- Partner with business and product teams to deliver GenAI use cases from ideation through production
- Translate business problems into AI system designs and non-functional requirements
- Troubleshoot complex production issues across non-production and production environments
- Feed use-case requirements into central AI services such as Tachyon
- Ensure alignment with risk, cyber, and model governance standards, including AIRR, data protection, and guardrails
- Partner with Cyber, MRM, Legal, and Risk teams on compliant AI patterns
- Embed security, privacy, and ethical AI principles into solution design
- Serve as a recognized GenAI expert across the enterprise
- Mentor senior and staff-level engineers
- Contribute to communities of practice, architecture reviews, and executive-level technical discussions
- Represent Wells Fargo GenAI capabilities in internal innovation forums and knowledge-sharing sessions
Requirements
What you’ll need- 7+ years of software engineering experience, with significant depth in AI/ML or data-intensive systems
- 2+ years of experience in Python programming
- Proven experience designing and delivering production-scale Generative AI systems in an enterprise environment
- 2+ years of experience with LLMs, prompt engineering, and RAG architecture
- Experience with vector databases and semantic search
- Experience with API-driven, cloud-native architectures
- Experience with distributed systems and performance optimization
- Strong understanding of security, scalability, resiliency, observability, and cost management
- Demonstrated Principal-level impact across multiple teams, platforms, or business units
- Experience 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
- Must be based in Charlotte, North Carolina or Irving, Texas, or willing to relocate at own expense
- Relocation assistance is not available
- This position is not eligible for visa sponsorship
Benefits
Comp & perks- Hybrid work schedule
- Equal opportunity employment
- Medical accommodation support during the application or interview process
- Drug-free workplace