Principal Engineer, Agentic AI
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Job Description
Principal Engineer responsible for developing agentic AI solutions at VF Corporation. Ensuring effective governance and low-code enablement across the organization.
Responsibilities:
- Own the pro-code development of production-grade agentic AI, building custom agents, multi-agent orchestration, complex integrations, and bespoke solutions that require deep engineering expertise.
- Evangelize and enable low-code development across brand and business functions, empowering citizen developers to build, extend, and maintain their own agents while establishing guardrails, patterns, templates, and governance that make decentralized agent creation safe and effective.
- 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 ID configuration, 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.
- Write production-quality code (TypeScript, Python, C#) for custom agents, orchestration logic, tool integrations, evaluation pipelines, and deployment automation on Azure AI Foundry.
- Own incident response for production agent issues: rapid diagnosis, remediation, root cause analysis, and post-incident improvements.
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.
Benefits:
- Detailed information on your benefits will be provided during the hiring process.
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