Agentic Architect - Talent & Revenue Transformation (HRL, Q2R, REC Blueprints)

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.

• 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 HRL, Q2R, and REC domains.
• Strong understanding of blueprint methodologies, especially BP_IPO frameworks.
• Proficiency in cloud-native architectures, API ecosystems, and AI/ML stacks.
• Fluent in English.

Nice to have:

• 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.

Blueprint-Aligned Architecture:

• Architect and operationalize AgenticAI frameworks aligned with HRL, Q2R, and REC transformation goals.
• Design scalable, modular agentic systems that integrate with HCM, CRM, and contract lifecycle platforms.
• Collaborate with blueprint owners, product teams, and engineering to ensure blueprint fidelity and architectural robustness.

AgenticAI Design & Deployment:

• Lead the development of multi-agent systems for autonomous talent onboarding, quote configuration, and contract orchestration.
• Utilize platforms such as LangChain, AutoGen, CrewAI, or custom orchestration layers to build intelligent agent networks.
• Ensure compliance with AI governance, explainability, and enterprise risk frameworks.

Innovation & Enablement:

• Drive innovation in agentic workflows across talent lifecycle, revenue generation, and contract management.
• 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.