Principal Engineer, AI Engineering
Wells Fargo24 days ago
London, United KingdomStaff+
Responsibilities
- Define target-state architecture, reusable design patterns, engineering standards, and technical strategy for agentic AI systems.
- Design, build, and guide RAG platforms, agentic workflows, chatbots, knowledge platforms, orchestration layers, workflow automation, and AI-enabled developer experiences.
- Lead proof-of-concepts, architecture reviews, design reviews, code reviews, technical deep dives, and resolution of complex AI engineering and production challenges.
- Establish practices for prompt engineering, skill engineering, model evaluation, observability, guardrails, red teaming, hallucination detection, security, and responsible AI.
- Ensure AI solutions address security, data protection, access management, auditability, model risk, compliance, fallback behavior, explainability, and human-in-the-loop review.
- Mentor senior engineers and technical leads and improve developer productivity through reusable libraries, templates, reference implementations, and technical coaching.
- Influence cross-team decisions and communicate technical trade-offs, risks, delivery considerations, and architectural direction to senior stakeholders.
Requirements
- Expert-level hands-on AI engineering experience with Python, TypeScript, React, APIs, distributed high-performance systems, and application delivery.
- Deep experience building AI-enabled applications using agentic workflows, LLMs, RAG, model orchestration, embeddings, vector search, and model evaluation techniques.
- Experience with OpenAI, Anthropic, Google Vertex AI, GitHub Copilot, or related AI developer ecosystems.
- Experience in technology strategic leadership or equivalent demonstrated through work experience, training, military experience, or education.
- Ability to influence technical strategy across teams without relying solely on direct reporting authority.
- Strong understanding of cybersecurity controls, data privacy, model risk management, governance, and compliance in regulated financial-services environments.
- Experience establishing AI platform capabilities, reference architectures, or internal developer frameworks is preferred.
- Experience with vector databases, embeddings, hybrid search, Elasticsearch, Redis, ChromaDB, or similar retrieval technologies is preferred.
- Experience building high-availability banking, capital-markets, or other regulated financial applications is preferred.
- Ability to communicate complex system designs, trade-offs, risks, and delivery implications to senior technical stakeholders.
Benefits
- Hybrid work schedule.
- Relocation assistance is not available.
Tech Stack
Categories
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.