Join our Consulting team as an Agentic AI Architect, where you'll spearhead the creation of intelligent AI agent ecosystems. You will leverage cutting-edge technologies like LLMs, multi-agent frameworks, RAG, and orchestration platforms to build innovative solutions. This role involves defining technical strategies and collaborating across teams to deliver robust AI systems.

You will play a pivotal role in designing and architecting enterprise-grade Agentic AI solutions and complex multi-agent environments. Key responsibilities include establishing comprehensive architecture, ensuring AI governance, and defining strategies for scalability and security. Your expertise will drive the implementation of AI solutions utilizing LLMs, RAG, and advanced orchestration frameworks.

Lead the design and development of enterprise-scale Agentic AI solutions and multi-agent ecosystems. Define end-to-end architecture, AI governance, scalability, security, and integration strategies. Design and implement AI solutions using LLMs, RAG, and multi-agent orchestration frameworks. Drive technical solutioning, architecture decisions, and integration with enterprise systems. Collaborate with cross-functional teams and stakeholders to ensure successful solution delivery. Identify technical risks and provide scalable and effective architectural solutions. Provide technical leadership and guidance to engineering teams.

A strong foundation in software engineering with over 10 years of experience, including at least 4 years focused on Generative AI, is essential. Proficiency in Python and frameworks such as LangGraph, LangChain, AutoGen, CrewAI, and MCP is required.

Extensive hands-on experience with Agentic AI, multi-agent architectures, LLMs, RAG, and AI orchestration platforms is critical. You should also have practical experience with vector databases and major cloud platforms like AWS, Azure, or GCP. A solid understanding of AI system design, API integration, MLOps, and prompt engineering principles is necessary.

Furthermore, experience in enterprise architecture, AI governance, security, and scalability is highly valued. Excellent technical leadership, stakeholder management abilities, and strong problem-solving skills are key to success in this role. Experience designing and implementing enterprise-scale Agentic AI solutions and managing client stakeholders is a significant plus.