Mandatory skills: Gen AI, Agentic AI, production-grade RAG implementation, Python, Azure or AWS or GCP, and architect experience.
Skill & Responsibility
Software/ML engineering experience, including at least 3 years building Agentic AI and Generative AI solutions on Microsoft Azure or AWS or GCP, to design, build, and deploy production-grade agentic and GenAI systems across the full AI stack.
Responsibilities
Architect and build GenAI solutions using Microsoft Azure or AWS or GCP
Design and own Retrieval-Augmented Generation (RAG) pipelines
Lead development of production AI agents using the Microsoft Agent Framework (via the Model Context Protocol (MCP)
and multi-agent coordination via the Agent2Agent (A2A) protocol)
Mentor engineers and guide architecture decisions for agentic AI adoption across teams.
Required Skills
10-20+ years overall software/ML engineering experience, including at least 3 years hands-on with Agentic AI and Generative AI specifically
Deep hands-on experience with Microsoft Azure or AWS or GCP in a production environment
Strong grasp of embeddings, vector search, and Retrieval-Augmented Generation (RAG) architecture
Practical experience with the Microsoft Agent Framework, MCP tool-calling, and A2A multi-agent patterns
Solid Python/.NET and cloud.
📌 Gen AI Agentic AI Architect (Hyderabad)
🏢 Cynergy Services
📍 Hyderabad
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