remote
Principal Engineer, AI - Wells Fargo
Software Engineer
Lead the design and deployment of enterprise‑scale Generative AI platforms, driving reliability, scalability, and security while architecting agentic systems, memory frameworks, and AI‑assisted development tools for cross‑team adoption.
About the role
Key Responsibilities
- Architect and build enterprise‑scale GenAI platforms with a focus on reliability, scalability, and security.
- Lead the development of agentic AI systems, including agent orchestration frameworks, multi‑agent workflows, and tool execution layers.
- Design and implement context engineering and memory management frameworks, covering short‑term and long‑term memory and context‑aware reasoning.
- Drive adoption of AI‑assisted development tools (e.g., Copilot, Claude Code, Devin) across engineering teams.
- Define standards, reusable components, and reference architectures for GenAI solutions.
Requirements
- Extensive experience in designing and scaling AI/ML systems at enterprise level.
- Proficiency in Python, Node.js, and cloud platforms such as AWS.
- Deep knowledge of generative AI, agent orchestration, and context‑aware reasoning.
- Strong communication skills to evangelize AI best practices across teams.
- Track record of delivering production‑ready AI solutions with robust security and compliance.