Design Verification Lead driving ASIC design verification for silicon photonics at Cisco. Collaborating with teams to ensure high - performance networks and deployment of advanced optical solutions.
About the role
- Principal Engineer in Agentic AI creating AI agents and enhancing low-code development capabilities at VF Corporation. Leading technical architecture and governance standards for decentralized agent creation.
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 to build, extend, and maintain their own agents.
- Design the integration layer between VF’s agent platforms and enterprise systems.
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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