Description

You will design and implement enterprise-scale Agentic AI solutions, overseeing the architecture of multi-agent systems and intelligent workflows on Microsoft Azure.

This role is on-site.

Responsibilities

• Architect scalable, cloud-native AI platforms using LLMs, Generative AI, and multi-agent orchestration frameworks.
• Develop intelligent workflows leveraging vector embeddings, retrieval-augmented generation (RAG), and advanced prompt engineering.
• Design secure, resilient microservices-based AI applications with high availability and operational efficiency.
• Deploy, monitor, and scale AI solutions on Azure, ensuring alignment with governance and compliance standards.
• Mentor technical teams and provide architectural leadership throughout the software development lifecycle.

Required Skills

• 13+ years of overall IT experience with strong expertise in enterprise solution architecture.
• Hands-on experience with Agentic AI frameworks, A2A frameworks, and MCP protocol.
• Strong expertise in Generative AI, LLMs, NLMs, vector embeddings, prompt/context engineering, and LLM fine-tuning.
• Advanced Python programming skills; experience with Java or Go is an added advantage.
• Proven experience deploying and scaling AI solutions on Microsoft Azure.
• Strong knowledge of Azure AI Search, Azure Cosmos DB, Redis, and Azure Blob Storage.
• Deep understanding of cloud-native architecture, microservices, containerization, and distributed systems.

Preferred Skills

• Experience with enterprise AI platform architecture and AI operations (AIOps/MLOps).
• Healthcare or other regulated industry experience.
• Knowledge of modern DevOps, CI/CD, Kubernetes, and container orchestration technologies.

Key Skills

Education

Bachelor's degree