Agentic Architect

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Role Overview

Agentic Architect

AgenticAI-powered enterprise architectures

Concept to Commercialization (C2C), Procure to Pay (P2P), and Record to Analyze (R2A)

autonomous, intelligent systems

AgenticAI, LLM orchestration, and enterprise architecture

Key Responsibilities

• Enterprise Architecture & Blueprint Implementation
• Architect and implement AgenticAI frameworks aligned with C2C, P2P, and R2A transformation objectives.
• Design modular, scalable, and secure agentic systems integrated with ERP, procurement, and finance platforms.
• Collaborate with blueprint owners, product teams, and engineering to ensure blueprint fidelity and architectural integrity.
• AgenticAI Design & Deployment
• Lead the development of multi-agent systems for autonomous process execution, exception handling, and decision support.
• Utilize platforms such as LangChain, AutoGen, CrewAI, or custom orchestration layers to build intelligent agent networks.
• Ensure AI governance, explainability, and enterprise risk compliance in all deployments.
• Innovation & Enablement
• Drive innovation in agentic workflows across product lifecycle, procurement orchestration, and financial close processes.
• Partner with business and IT stakeholders to identify high-impact use cases and accelerate blueprint adoption.
• Mentor architects and engineering teams on agentic design principles, reusable patterns, and best practices.
  

Required Qualifications

• 15+ years of experience in enterprise architecture, AI systems design, or digital transformation.
• Deep expertise in AgenticAI, LLM orchestration, and autonomous agent frameworks.
• Proven experience in architecting solutions across C2C, P2P, and R2A domains.
• Strong understanding of blueprint methodologies, especially BP_IFAO frameworks.
• Proficiency in cloud-native architectures, API ecosystems, and AI/ML technology stacks.
  

Preferred Skills

• Hands-on experience with LangChain, AutoGen, OpenAgents, or CrewAI.
• Certifications in Enterprise Architecture (TOGAF, Zachman) or AI/ML.
• Exposure to digital twin modeling, agent simulation, or AI safety frameworks.
  

Soft Skills & Attributes

• Strategic thinker with ability to translate business needs into technical architecture.
• Strong mentoring and leadership skills to guide cross-functional teams.
• Excellent communication and stakeholder management skills.
• Passion for innovative AI solutions and enterprise transformation.