Description

Design, develop, and deploy enterprise-scale Generative AI and Agentic AI solutions on Azure Cloud.

This role is on-site.

Responsibilities

• Build scalable AI/ML and Generative AI applications using A2A frameworks and MCP Protocol.
• Develop and optimize RAG, vector embedding, prompt engineering, and context engineering solutions.
• Deploy and manage cloud-native workloads using Azure Functions, Container Apps, and serverless technologies.
• Design data solutions using Azure AI Search, Redis, Cosmos DB, Blob Storage, and Iceberg.
• Fine-tune LLMs for enterprise use cases while ensuring scalability, security, and compliance in regulated environments.

Required Skills

• 7+ years of experience in AI/ML engineering with strong expertise in Generative AI and LLMs.
• Hands-on experience with Agentic AI frameworks, multi-agent architectures, and MCP Protocol.
• Advanced Python development skills.
• Strong Azure Cloud experience, including Azure AI Search, Redis, and Cosmos DB.
• Experience with vector databases, embeddings, and prompt engineering.
• Knowledge of microservices, containers, and serverless architectures.
• Experience working in Healthcare or other regulated environments.

Preferred Skills

• Bachelor's or Master's degree in Computer Science, AI/ML, or related field.
• Azure AI Engineer or Azure Solutions Architect certification.

Key Skills

Education

Any Graduate