Senior Architect, Generative AI and AI Agent Factory

The Senior Technical Architect - Generative AI and Agent Factory is accountable for overseeing the overall architecture, design, and strategic advancement of PepsiCo's enterprise-level GenAI platforms, namely PepGenX, Agent Factory, and PepVigil. Your primary objective will be to establish scalable, event-driven agent orchestration frameworks, modular agent templates, and integration strategies that empower intelligent, governed, and reusable agent ecosystems, thus expediting the implementation of AI-driven solutions across various commercial, reporting, and enterprise automation scenarios. You will be responsible for architecting and managing the development of scalable, modular AI agent frameworks (such as Agent Mesh, Orchestrator, Memory, Canvas) for broad organizational utility. Your role will also involve defining event-driven orchestration and agentic execution patterns (e.g., Temporal, LangGraph, AST-RAG, reflection) to facilitate intelligent, context-aware workflows. Additionally, you will drive platform integration across PepGenX, Agent Factory, and PepVigil to ensure uniformity in observability, security, and orchestration approaches. Developing reusable agent templates, blueprints, and context frameworks (e.g., MCP, semantic caching) to expedite use case onboarding across various domains will also fall under your purview. Moreover, you will be instrumental in setting up architecture standards to incorporate Responsible AI (RAI), data privacy, and policy enforcement within GenAI agents, and lead technical architecture planning for delivery sprints, vendor integration tracks, and GenAI product releases. To be considered for this role, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with a minimum of 12 years of experience in enterprise software or AI architecture roles, with recent specialization in LLMs, Generative AI, or intelligent agents. You must have a proven track record in designing and implementing agent-based frameworks or AI orchestration platforms, and a solid understanding of technologies like LangGraph, Temporal, vector databases, multimodal RAGs, event-driven systems, and memory management. Hands-on experience with Kubernetes, Azure AI/AKS, REST APIs, and observability stacks is essential, as is the ability to influence enterprise architecture and provide guidance to cross-functional engineering teams. Excellent communication skills are a must, allowing you to effectively convey intricate technical concepts to a diverse set of stakeholders.,