Principal Engineer, Agentic AI

VF CorporationGreensboro, NC

About The Position

VF Corporation is seeking a Principal Agentic AI Engineer to join its centralized Agentic AI team. This team functions as a Center of Excellence, building and deploying AI agents across all of VF's brands and enterprise functions. The role involves both hands-on development of complex, production-grade AI agents and enabling citizen developers through low-code platforms, establishing governance and best practices for decentralized agent creation. The ideal candidate will be a technical leader who can build advanced agents and empower others to build simpler ones, setting architectural standards and creating reusable components.

Requirements

  • 8+ years of software engineering experience (Senior) or 12+ years (Principal), with at least 2 years focused on AI/ML systems, conversational AI, or agentic AI platforms.
  • Deep hands-on expertise with Copilot Studio, including both low-code authoring (topics, knowledge, actions, agent flows) and pro-code extension (custom connectors, Power Platform components, ALM).
  • Strong production experience with Azure AI Foundry (Azure OpenAI Service, Azure AI Search, Prompt Flow, Semantic Kernel, Azure AI Agent Service) building custom agentic applications.
  • Proficiency in at least two additional agent frameworks beyond the Microsoft ecosystem: LangChain/LangGraph, AutoGen, CrewAI, or comparable orchestration frameworks.
  • Deep understanding of agentic AI patterns: multi-agent orchestration, tool-use and function calling, RAG architectures, embedding strategies, evaluation methodologies guardrails, and MCP.
  • Strong software engineering fundamentals: TypeScript, Python, or C#; RESTful and GraphQL API design; event-driven architectures; CI/CD; infrastructure-as-code (Bicep, Terraform); containerization.
  • Excellent communication skills with the ability to present to both engineering peers and business leaders, translating technical concepts into business-relevant language.
  • Bachelor’s degree in computer science, AI/ML, Engineering, or a related field. Masters preferred.
  • Experience with Sierra AI or comparable AI platforms for consumer-facing customer service agents.
  • Background in Power Platform administration, governance, and toolkit deployment.

Nice To Haves

  • Masters degree in computer science, AI/ML, Engineering, or a related field.

Responsibilities

  • Own the pro-code development of production-grade agentic AI, building custom agents, multi-agent orchestration, complex integrations, and bespoke solutions.
  • Evangelize and enable low-code development across brand and business functions, empowering citizen developers.
  • Establish guardrails, patterns, templates, and governance for decentralized agent creation.
  • Set architectural patterns, create reusable components, establish integration connectors, and define quality standards.
  • Own the pro-code extension layer for Copilot Studio, building custom connectors, developing Power Platform dataflows and custom actions, and creating reusable component libraries.
  • Implement advanced Copilot Studio capabilities like multi-agent orchestration, Model Context Protocol (MCP) server integration, human-in-the-loop (HITL) approval workflows, and Copilot Tuning.
  • Build and enforce governance standards for Copilot Studio, including lifecycle management, naming conventions, environment management, DLP policies, Entra Agent ID configuration, telemetry, analytics, and cost tracking.
  • Develop the integration between Copilot Studio and Azure AI Foundry, creating seamless upgrade paths.
  • Architect and build production-grade custom agentic applications on Azure AI Foundry using Azure OpenAI Service, Azure AI Search, Azure AI Agent Service, Prompt Flow, and Semantic Kernel.
  • Build and maintain VF’s custom RAG pipelines and vector databases.
  • Develop agent evaluation and testing infrastructure on Azure, including task-specific benchmarks, LLM-as-judge evaluation pipelines, red-team testing harnesses, and regression test suites.
  • Implement agent observability, tracing, monitoring, Application Insights, and custom telemetry.
  • Contribute to VF’s responsible AI practices by implementing guardrails, content safety filters, PII detection and masking, prompt injection defenses, and bias mitigation.
  • Design and deliver training for Copilot Studio for different user tiers.
  • Build and publish VF’s “Agent Developer Guide” and an agent template gallery.
  • Track and govern developer adoption metrics for decentralized agents.
  • Identify when citizen-built agents need to transition to pro-code solutions.
  • Design the integration layer between VF’s agent platforms and enterprise systems of record.
  • Architect secure, performant RAG pipelines.
  • Establish standards for agent memory, state management, and context handling.
  • Write production-quality code (TypeScript, Python, C#) for custom agents, orchestration logic, tool integrations, evaluation pipelines, and deployment automation.
  • Build and maintain CI/CD pipelines for agent development.
  • Develop custom connectors and MCP servers.
  • Implement comprehensive agent testing.
  • Define and enforce VF’s agent quality standards.
  • Implement governance automation for Copilot Studio.
  • Build VF’s agent observability stack.
  • Own incident response for production agent issues.

Benefits

  • General overview of each benefit program offered, including this year's medical plan rates on www.MyVFbenefits.com
  • Detailed information on your benefits will be provided during the hiring process.
  • Eligible for additional compensation awards that may include an annual incentive plan, sales incentive, or commission potential.
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