AI/ML Engineer

• We are seeking a highly experienced Senior AI/ML Engineer to architect and develop enterprise-scale Generative AI solutions on Azure Cloud., * Design AI solutions using Agentic Layer A2A frameworks and MCP Protocol.
• Build enterprise GenAI applications leveraging vector embeddings, prompt engineering, and context engineering.
• Deploy and optimize AI workloads on Microsoft Azure Cloud.
• Design AI data architectures using Azure AI Search, Redis, Cosmos DB, Blob Storage, and Apache Iceberg.
• Develop Azure Functions and Azure Container Apps for AI microservices.
• Optimize cloud-native architectures for scalability, resilience, and performance.
• Ensure compliance with healthcare regulations including HIPAA and GDPR.
• Mentor engineering teams and perform architecture/design reviews.
• Evaluate emerging AI technologies and integrate modern GenAI capabilities into enterprise solutions.

• The ideal candidate should possess deep expertise in Agentic AI, MCP Protocol, Azure AI Services, LLMs, cloud-native architecture, and healthcare domain solutions., * Agentic AI Frameworks (A2A)
• MCP Protocol
• Generative AI
• Large Language Models (LLMs)
• Natural Language Models (NLMs)
• Prompt Engineering
• Context Engineering
• Vector Embeddings
• Fine-tuning LLMs
• Python
• Azure Cloud
• Azure AI Search
• Redis
• Azure Cosmos DB
• Azure Blob Storage
• Apache Iceberg
• Azure Functions
• Azure Container Apps
• Microservices
• Containerization
• Serverless Computing
• Cloud Architecture
• Performance Optimization

Mandatory Skills:

• Azure AI
• Azure Cloud
• Agentic AI
• MCP Protocol
• LLM
• GenAI
• Python
• Azure AI Search
• Cosmos DB
• Redis
• Azure Functions
• Azure Container Apps
• Prompt Engineering
• Vector Embeddings
• Microservices
• Cloud Architecture