Principal AI Engineer – Enterprise Generative AI
Wells Fargo1 day ago
Charlotte, NC, USA or Irving, TX, USAStaff+
Responsibilities
- Own enterprise-grade Generative AI architectures, including RAG pipelines, agentic workflows, prompt orchestration, and multi-model routing.
- Drive production readiness, scalability, resilience, observability, latency optimization, and cost efficiency for Generative AI solutions.
- Lead architectural decisions involving data ingestion, vector databases, model selection, guardrails, and API scalability.
- Define reusable reference architectures and patterns for Generative AI adoption across business lines.
- Partner directly with business and product teams as a Forward Deployed Engineer to deliver use cases from ideation through production.
- Translate business problems into AI system designs and non-functional requirements with measurable outcomes.
- Troubleshoot complex issues across non-production and production environments.
- Feed real-world use-case requirements into central AI services such as Tachyon.
- Ensure solutions align with risk, cyber, data protection, model governance, and ethical AI standards.
- Mentor senior and staff-level engineers and influence architecture, platform roadmaps, and technical communities across the enterprise.
Requirements
- 7+ years of software engineering experience with significant depth in AI/ML or data-intensive systems.
- 2+ years of experience programming in Python.
- 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.
- 2+ years of experience with vector databases and semantic search.
- 2+ years of experience with API-driven, cloud-native architectures.
- 2+ years of experience with distributed systems and performance optimization.
- Strong understanding of security, scalability, resiliency, observability, and cost-management requirements.
- Demonstrated Principal-level influence across multiple teams, platforms, or business units.
- Experience in highly regulated environments, preferably financial services.
- 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 to senior executives and non-technical stakeholders.
Benefits
- Hybrid work schedule.
- Must be based in an approved location or relocate at personal expense; relocation assistance is unavailable.
- This position is not eligible for visa sponsorship.
Tech Stack
Categories
AI ApplicationsForward Deployed
About Wells Fargo
Wells Fargo & Company is a U.S.-based financial services firm providing consumer and commercial banking, mortgages, credit, and wealth/investment services to individuals, small businesses, and enterprises. It earns revenue from interest income and fees across retail banking, payments, lending, and capital markets. Founded in 1852 and headquartered in San Francisco, it is publicly traded on the NYSE (WFC) and operates nationally with offices in multiple countries.