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 to build, extend, and maintain their own agents.
Design the integration layer between VF’s agent platforms and enterprise systems.

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.

Detailed information on your benefits will be provided during the hiring process.

Principal Engineer, Agentic AI

Key skills