Agentic AI Architect

Job Title: Agentic AI Architect

Location: Hyderabad
Notice Period: Immediate to 15 Days Preferred

Job Summary

We are seeking a highly experienced Agentic AI Architect to lead the design and development of enterprise-grade Agentic AI solutions. The ideal candidate will have extensive experience in AI architecture, autonomous intelligent agents, Machine Learning, Large Language Models (LLMs), and distributed systems. You will be responsible for defining the technical architecture, establishing engineering standards, and driving the implementation of scalable, secure, and intelligent AI agent ecosystems across enterprise platforms.

Key Responsibilities

• Design and define end-to-end architecture for enterprise Agentic AI systems.
• Architect scalable AI agent ecosystems, including reasoning, planning, memory, perception, and tool integration.
• Develop architectural standards, reusable frameworks, and best practices for AI agent development.
• Evaluate and implement Agentic AI frameworks such as Google ADK, LangChain, AutoGen, and CrewAI.
• Integrate AI agents with enterprise applications including ERP, CRM, SCM, and WMS platforms.
• Ensure architecture meets scalability, security, reliability, maintainability, and performance requirements.
• Lead Proof of Concepts (PoCs) and prototype development for next-generation AI capabilities.
• Provide technical leadership and architectural guidance to engineering teams.
• Drive MLOps/LLMOps strategies for AI agent lifecycle management.
• Collaborate with cross-functional stakeholders to align technical solutions with business objectives.
• Ensure AI solutions comply with security, privacy, governance, and ethical AI standards.
• Create and maintain architecture documentation and technical design artifacts.

Required Skills

• Strong hands-on experience in Agentic AI and Autonomous Intelligent Agents.
• Expertise in Machine Learning, Large Language Models (LLMs), and Generative AI.
• Strong proficiency in Python and SQL.
• Experience with LangChain, Google ADK, CrewAI, AutoGen, or similar Agentic AI frameworks.
• Strong understanding of Multi-Agent Systems and AI orchestration.
• Experience designing scalable distributed AI systems.
• Knowledge of Retrieval-Augmented Generation (RAG), Vector Databases, and Memory Systems.
• Experience with REST APIs, Microservices, and Enterprise System Integration.
• Familiarity with MLOps/LLMOps practices.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Excellent software architecture, design, and problem-solving skills.

Required Qualifications

• Master’s or Ph.D. in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field.
• 10+ years of experience in Software Engineering and AI/ML system development.
• 5–7+ years of experience designing and architecting complex distributed AI systems.
• Proven experience designing and implementing enterprise-scale Agentic AI solutions.

Preferred Skills

• Experience integrating AI solutions with ERP, CRM, SCM, or WMS platforms.
• Knowledge of AI governance, responsible AI, and security best practices.
• Strong communication, leadership, mentoring, and stakeholder management skills.