AI Architect – Azure​/Agentic AI

Design and implement enterprise Agentic AI solutions using Azure OpenAI, Azure AI Services, Azure AI Foundry, and Agent Services.

Architect and orchestrate multi-agent workflows using Lang Graph, Lang Chain, Lang Smith, and Semantic Kernel, including tool calling, memory, reasoning, and agent-to-agent communication.

Develop GenAI, RAG, NLP, and ML solutions using Azure AI Search, embeddings, vector databases, and semantic search.

Build AI solutions including Copilots, virtual assistants, intelligent automation, recommendation systems, and analytics platforms.

Design scalable AI architecture across interaction, orchestration, integration, model, and data layers, using APIs, microservices, and cloud-native patterns.

Develop AI/ML solutions using Python and modern AI/ML frameworks, with focus on performance, scalability, and cost optimization.

Implement Responsible AI, governance, security, and guardrails using Microsoft Entra , Azure Key Vault, Azure AI Content Safety, and enterprise security controls.

Implement LLMOps/MLOps, monitoring, evaluation, drift detection, and telemetry using Azure Monitor, Application Insights, and CI/CD pipelines.

Lead POCs and AI innovation initiatives, create architecture diagrams and technical documentation, and collaborate with business and engineering teams.

• GenAI, LLMs, RAG, Prompt Engineering
• Agentic AI / Multi-Agent:
  Lang Graph, Lang Chain, Lang Smith, Semantic Kernel
• Python and AI/ML frameworks
• Vector Databases, Embeddings, Semantic Search
• AI Architecture, Security, Governance, and Responsible AI

• LLMOps / MLOps, CI/CD, AI Evaluation Frameworks
• Databricks, Synapse
• Experience in Healthcare, Pharma, or other regulated industries.