Senior Architect, Generative AI and AI Agent Factory

Location: Hyderabad, Telangana, India

Overview The Senior Technical Architect – Generative AI and Agent Factory is responsible for leading the end-to-end architecture, design, and strategic enablement of PepsiCo's enterprise-grade GenAI platforms—PepGenX, Agent Factory, and PepVigil. This role defines scalable, event-driven agent orchestration frameworks, modular agent templates, and integration patterns that enable intelligent, governed, and reusable agent ecosystems. The position plays a pivotal role in accelerating the deployment of AI-driven solutions across commercial, reporting, and enterprise automation use cases. Responsibilities Architect and govern the design of scalable, modular AI agent frameworks (Agent Mesh, Orchestrator, Memory, Canvas) for enterprise-wide reuse., Define event-driven orchestration and agentic execution patterns (e.g., Temporal, LangGraph, AST-RAG, reflection) to enable intelligent, context-aware workflows., Drive platform integration across PepGenX, Agent Factory, and PepVigil to ensure consistency in observability, security, and orchestration patterns., Develop reusable agent templates, blueprints, and context frameworks (e.g., MCP, semantic caching) to accelerate use case onboarding across domains., Establish architecture standards to embed Responsible AI (RAI), data privacy, and policy enforcement within GenAI agents, Lead technical architecture planning across delivery sprints, vendor integration tracks, and GenAI product releases. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 12+ years of experience in enterprise software or AI architecture roles, with a recent focus on LLMs, Generative AI, or intelligent agents. Proven experience in designing and implementing agent-based frameworks or AI orchestration platforms. Strong understanding of technologies such as 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. Demonstrated ability to influence enterprise architecture and guide cross-functional engineering teams. Excellent communication skills, with the ability to articulate complex technical concepts to diverse stakeholders.

Responsibilities

Architect and govern the design of scalable, modular AI agent frameworks (Agent Mesh, Orchestrator, Memory, Canvas) for enterprise-wide reuse., Define event-driven orchestration and agentic execution patterns (e.g., Temporal, LangGraph, AST-RAG, reflection) to enable intelligent, context-aware workflows., Drive platform integration across PepGenX, Agent Factory, and PepVigil to ensure consistency in observability, security, and orchestration patterns., Develop reusable agent templates, blueprints, and context frameworks (e.g., MCP, semantic caching) to accelerate use case onboarding across domains., Establish architecture standards to embed Responsible AI (RAI), data privacy, and policy enforcement within GenAI agents, Lead technical architecture planning across delivery sprints, vendor integration tracks, and GenAI product releases.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 12+ years of experience in enterprise software or AI architecture roles, with a recent focus on LLMs, Generative AI, or intelligent agents. Proven experience in designing and implementing agent-based frameworks or AI orchestration platforms. Strong understanding of technologies such as 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. Demonstrated ability to influence enterprise architecture and guide cross-functional engineering teams. Excellent communication skills, with the ability to articulate complex technical concepts to diverse stakeholders.