Principal Engineer, Agentic AI

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A day in the life of a Principal Agentic AI Engineer at VF looks a little like this.

The Principal Agentic AI Engineer is a hands‑on technical leader embedded in VF Corporation’s centralized Agentic AI team. This team operates as a cross‑brand, cross‑region Center of Excellence that builds and deploys AI agents for every brand in VF’s portfolio and every function in VF’s enterprise.

You are the engineer who builds the hardest agents yourself and makes it possible for everyone else at VF to build the rest. You set the architectural patterns, create the reusable components, establish the integration connectors, and define the quality standards that the entire VF organization inherits.

Platform Polyglot:
You think in terms of agent platforms and frameworks as a portfolio - the right tool for each job. Copilot Studio for enterprise productivity & Azure AI Foundry for custom builds.

Governance by Design: governance is what makes innovation scalable. Build guardrails into every template, every connector, and every training so that decentralized agent creation is safe.

Let’s break down that day‑in‑the‑life a bit more.

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 multi‑agent orchestration, Model Context Protocol (MCP) server integration, human‑in‑the‑loop (HITL) approval workflows and Copilot Tuning.

Build and enforce governance standards: lifecycle management, naming conventions, environment management, DLP policies, Entra Agent , telemetry and analytics, and cost tracking.

Develop the integration between Copilot Studio and Azure AI Foundry, creating seamless upgrade paths where agents that outgrow Copilot Studio’s capabilities.

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 and develop agent evaluation and testing infrastructure on Azure: building 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
-providing VF’s Agentic AI team with real‑time visibility into performance, cost, error rates, and impact.

Contribute to VF’s responsible AI practices by implementing guardrails, content safety filters, PII detection and masking, prompt injection defenses, and bias mitigation across all Azure AI Foundry.

Design and deliver training for Copilot Studio, structured in tiers:
Foundational (business analysts building first agents), Intermediate (power users adding custom connectors and knowledge sources), and Advanced (technical builders using MCP, HITL, and multi‑agent patterns).

Build and publish VF’s "Agent Developer Guide" and an agent template gallery - a curated library of pre‑built, governance‑approved agent design patterns, connector libraries, governance requirements, testing standards, and deployment checklists.

Track and govern…