Senior Architect, Generative AI and AI Agent Factory

Overview

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.

• 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.

• 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.