Be part of a team driving the next generation of Enterprise AI solutions. As an Agentic AI Architect, you will lead the design and implementation of scalable Agentic AI platforms, multi-agent ecosystems, and enterprise-grade AI solutions that enable intelligent automation and business transformation.

In this role, you will:

- Architect and design enterprise-scale Agentic AI and Multi-Agent Systems.
- Define AI solution architecture for autonomous workflows, intelligent assistants, and decision-support systems.
- Design and implement scalable Generative AI applications leveraging LLMs and AI agents.
- Develop agent orchestration frameworks, memory management, tool integrations, and reasoning workflows.
- Collaborate with business and technical stakeholders to translate requirements into AI-driven solutions.
- Drive AI governance, security, scalability, and performance optimization initiatives.
- Lead architecture reviews, technical discussions, and AI adoption strategies.
- Mentor engineering teams and establish best practices for AI solution development.
- Enable deployment of AI solutions across cloud and hybrid environments.

Your Profile

- 12+ years of experience in Software Architecture, Enterprise Solution Design, or AI/ML Architecture.
- Solid expertise in designing and implementing Agentic AI and Multi-Agent Systems.
- Hands-on experience with Large Language Models (LLMs), Generative AI applications, and AI orchestration frameworks.




- Experience with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar platforms.
- Strong knowledge of AI system architecture, prompt engineering, RAG (Retrieval Augmented Generation), vector databases, and knowledge management systems.
- Experience building scalable AI solutions on Azure, AWS, or GCP environments.
- Proficiency in Python and modern AI/ML frameworks.
- Strong understanding of microservices, APIs, distributed systems, and cloud-native architectures.
- Experience with containerization, Kubernetes, DevOps, and CI/CD practices.
- Excellent stakeholder management, consulting, and technical leadership skills.
- Ability to drive AI transformation initiatives across enterprise environments.

Key Skills

Agentic AI | Multi-Agent Systems | Generative AI | LLM | LangChain | LangGraph | CrewAI | AutoGen | Semantic Kernel | RAG | Vector Databases | Python | Azure AI | AWS AI | GCP AI | Kubernetes | Microservices | AI Architecture | Enterprise AI

What You'll Love About Working Here

- Opportunity to architect cutting-edge Agentic AI and Autonomous Systems.
- Work with state-of-the-art Generative AI and LLM technologies.
- Lead enterprise-scale AI transformation initiatives.
- Collaborate with global teams, architects, and business leaders.
- Continuous innovation and learning in the rapidly evolving AI ecosystem.

📌 Agentic AI Architect (Gurugram)
🏢 Capgemini Engineering
📍 Gurugram