Open Roles
At Wells Fargo, we are building enterprise-grade Generative AI capabilities that are secure, scalable, and deeply integrated into our business workflows. The Lead AI Engineer plays a critical role in translating Generative AI strategy into production-ready systems that operate at enterprise scale. This role sits at the intersection of hands-on technical leadership, architectural decision-making, and delivery accountability.
You will lead the design and implementation of Retrieval-Augmented Generation (RAG) pipelines, agentic AI orchestration, and shared GenAI services that power high-visibility enterprise programs such as DASH and other priority initiatives. This is a senior individual contributor role with broad enterprise impact. You will influence GenAI architecture and delivery patterns across multiple teams and lines of business.
You will own architectural decisions for GenAI orchestration, latency optimization, scalability, resilience, and cost efficiency across production environments. The role requires defining and enforcing engineering best practices for GenAI development, including prompt design, evaluation frameworks, observability, and failure handling. You will establish and evolve reusable patterns and components that accelerate GenAI solution delivery across the enterprise.
Candidates should have extensive experience in AI/ML engineering with deep expertise in Generative AI, LLMs, and RAG architectures. Strong leadership skills and experience mentoring engineering teams are essential. Experience in regulated industries, particularly financial services, is highly valued.