Agentic AI Architect

• Design and implement enterprise-grade Generative AI and Agentic AI architectures supporting chatbot, assistant, and intelligent automation platforms.
• Architect and deploy production-ready AI agents and multi-agent systems capable of reasoning, planning, tool invocation, workflow orchestration, and autonomous task execution.
• Design scalable AI platforms enabling reuse of models, prompts, tools, and shared services across multiple business units and use cases.
• Define architecture standards, design patterns, and best practices for enterprise AI adoption.
• Design and develop LLM-powered chatbots and AI assistants using technologies such as Vertex AI, Dialogflow, and modern AI frameworks.
• Build conversational experiences for customer support, knowledge management, employee productivity, and operational workflows.
• Implement advanced prompt engineering strategies, prompt libraries, and optimization techniques to improve response quality and user experience.

• Proven track record of delivering AI assistants, chatbots, and autonomous agent platforms into production environments.
• Deep expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
• Experience designing cloud-native architectures and enterprise-scale AI ecosystems.
• Proficiency with Vertex AI, Dialogflow, and modern AI and ML frameworks.
• Strong background in multi-agent system design, workflow orchestration, and autonomous task execution.
• Experience establishing AI governance frameworks, guardrails, and engineering standards.
• Demonstrated ability to integrate AI solutions with enterprise systems across diverse business domains.

Preferred Qualifications

• Hands-on experience with advanced prompt engineering strategies and structured prompt library management.
• Background delivering conversational AI solutions for customer support, knowledge management, or employee productivity use cases.