Description

Architect and deploy scalable, secure AI/ML solutions using Agentic AI frameworks, Azure cloud services, and distributed microservices.

This role is on-site.

Responsibilities

• Design enterprise Generative AI applications including RAG, vector search, embeddings, and context engineering.
• Architect and optimize data layers using Azure AI Search, Cosmos DB, Redis, Blob Storage, and Iceberg platforms.
• Develop cloud-native services with Azure Functions, Container Apps, and distributed microservices.
• Ensure compliance with healthcare regulations (HIPAA, GDPR) and maintain system reliability and observability.
• Lead technical initiatives through architecture reviews, code reviews, and mentoring.

Required Skills

• 8+ years of software engineering experience with significant focus on AI/ML and Generative AI.
• Strong expertise in LLMs, NLMs, Multi-agent systems, and Agentic AI architectures.
• Proficiency in MCP Protocol, agent orchestration, prompt engineering, and context engineering.
• Advanced Python development for production-grade AI applications.
• Hands-on experience with Microsoft Azure AI services and cloud-native deployment.
• Knowledge of Azure AI Search, Redis, Cosmos DB, and distributed data storage.
• Experience designing microservices, serverless apps, and scalable architectures.
• Understanding of AI security, governance, and compliance in regulated industries.

Preferred Skills

• Master’s degree in Computer Science, AI/ML, or Data Science.
• Microsoft Azure certifications (Solutions Architect Expert, AI Engineer Associate).
• Experience with LangGraph, LangChain, Semantic Kernel, AutoGen, MLOps, or LLMOps.

Key Skills

Education

Bachelor's degree