Principal Engineer Job at Wells Fargo (CHARLOTTE)

Job Description

Wells Fargo is seeking a Principal Engineer to provide deep technical leadership for AI capabilities across Microsoft 365 and OS platforms, with a focus on the design and delivery of agentic AI solutions and workflows built on Microsoft 365 Copilot, Copilot Studio, and Copilot Cowork. As the most senior individual contributor on the team, you will define how agents, skills, and plug-ins are built, secured, and scaled across the enterprise — turning the Copilot platform into intelligent, autonomous experiences for the workforce.

Job Responsibility

Act as the principal technical authority for agentic AI across Microsoft 365 (Teams, Outlook, SharePoint, Graph, Copilot) and OS platforms (Windows, macOS, iOS, Android), defining architecture and engineering standards for agents, skills, plug-ins, and AI-driven workflows
Design and build end-to-end agentic solutions on the Microsoft 365 Copilot platform — declarative and custom agents, skills composition, plug-in/tool calling, grounding over enterprise data via Microsoft Graph, and multi-step autonomous workflows
Lead delivery of agents and automations in Copilot Studio and Copilot Cowork, establishing reusable patterns, skills libraries, and plug-in frameworks that other teams build on
Define how Copilot Cowork agents are extended with custom skills and plug-ins to automate complex, cross-application workplace workflows securely and reliably
Drive the most complex, highest-risk technical initiatives across teams, resolving ambiguous architecture and integration challenges spanning the Copilot platform, Microsoft Graph, and OS extensibility points
Set and enforce engineering best practices for agentic AI delivery — agent and skill evaluation, prompt and skill versioning, observability, latency and cost optimization, CI/CD, and automated testing for non-deterministic AI systems
Embed responsible AI into the engineering foundation: grounding, safety, guardrails, data privacy, model governance, and explainability built into agents, skills, and plug-ins by design
Partner with architects and engineering leadership to shape the next generation domain architecture and target-state roadmap for the Microsoft 365 Copilot ecosystem and OS platform AI
Conduct deep technical design reviews and peer code reviews, evaluating solution quality and alignment to technical direction, and personally contribute hands-on in the codebase to the most critical components
Serve as the technical representative for the product in cross-team planning and collaborative efforts, influencing technology requirements, priorities, and the engineering roadmap
Identify and drive escalated resolution of the most difficult technology roadblocks across code, build, deployment, and platform integration
Mentor and grow senior and experienced engineers, raising the team's depth in Microsoft 365 Copilot extensibility, Copilot Studio, Cowork, and OS platform engineering
Interact directly with Microsoft and other technology partners to advance Copilot platform and AI capabilities
Interpret, develop, and ensure the security, stability, and scalability of AI capabilities, and identify, manage, and mitigate AI-related technology and enterprise risk
Provide principal-level technical leadership for the design and delivery of agentic AI solutions, skills, and plug-ins on Microsoft 365 Copilot, Copilot Studio, and Cowork
Set the engineering standards, patterns, and reusable frameworks that enable teams to build secure, scalable agents and plug-ins across the Copilot platform
Personally drive resolution of the hardest technical problems and remain hands-on in the codebase for the most critical work
Embed responsible AI, evaluation, observability, and governance into the engineering foundation and definition of done
Influence architecture, roadmap, and technology strategy across teams and partner with leadership on target-state direction for the Microsoft 365 Copilot ecosystem
Mentor and elevate the technical depth of the engineering organization in Copilot extensibility, agentic AI, and platform engineering

Requirements

7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Demonstrated experience designing and delivering generative AI or agentic AI systems in production at enterprise scale — agents, skills, plug-ins, tool calling, orchestration, and autonomous or human-in-the-loop workflows
Deep, hands-on expertise with the Microsoft 365 Copilot extensibility model — declarative and custom engine agents, skills, plug-ins, message extensions, and Microsoft Graph connectors
Hands-on experience building and shipping agents and automations in Copilot Studio and Copilot Cowork, including custom skills and plug-in development
Strong experience building AI-powered capabilities across OS platforms (Windows, macOS, iOS, Android) in a large enterprise environment
Expertise grounding agents over enterprise data through Microsoft Graph, including retrieval, security trimming, and data governance
Proficiency with engineering fundamentals that underpin agentic AI delivery: API and microservices design, containerization (Docker, Kubernetes), CI/CD, DevSecOps, and automated testing/evaluation for non-deterministic systems
Demonstrated application of responsible AI principles — model governance, grounding, safety, bias mitigation, data privacy, and explainability — in a regulated industry
Experience as the senior-most technical leader on complex initiatives, influencing architecture and engineering direction across multiple teams without direct authority
Experience delivering AI capabilities in a regulated financial services or other highly regulated environment, with awareness of enterprise risk, security, and compliance frameworks for AI

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