Enterprise AI Architect -- W2 Role

Role: Azure AI Solution Architect / Enterprise AI Architect

Location: Hybrid – NY / TX / FL / NJ | Open to Relocate & Client-Site Travel
Experience: 10+ Years
Work Authorization: / GC-EAD / -EAD / L2-EAD-- W2 ROLE
Type: Long-Term / Contract

Key Requirements:
• Hands-on experience architecting and building enterprise AI, ML, GenAI & Agentic AI solutions
• Strong Azure AI expertise – Azure OpenAI, Azure AI Foundry, Azure Machine Learning, Azure AI Search
• Expertise in Agentic AI & Multi-Agent architectures – Semantic Kernel, LangGraph, LangChain, AutoGen, Microsoft Agent Framework
• Strong experience with RAG, vector databases, embeddings, hybrid search, GraphRAG, re-ranking & LLM evaluation
• Experience with MCP servers, A2A protocols, tool calling, enterprise agent integrations and OAuth 2.0
• Strong AI security & governance – Entra ID, Key Vault, Private Link, Content Safety, prompt-injection protection, PII protection, Responsible AI
• Hands-on Python, C#/.NET, SQL; experience with FastAPI, REST/gRPC and event-driven architectures
• Azure architecture experience with AKS, Azure Container Apps, Functions, APIM, Service Bus, Event Grid, Cosmos DB, PostgreSQL & Storage
• Strong Terraform/Bicep, Kubernetes, Docker, Helm, GitOps and CI/CD experience
• Experience with Azure Well-Architected Framework, Cloud Adoption Framework, Landing Zones and enterprise architecture governance
• Experience designing production-grade, scalable and secure AI platforms with monitoring, observability, cost optimization and evaluation frameworks
• Multi-cloud experience with AWS/Google Cloud Platform is a plus
• Experience with NVIDIA AI Enterprise, NIM, Triton, TensorRT-LLM and GPU infrastructure is a plus

Preferred Certifications:
Microsoft Azure Solutions Architect Expert / Azure AI certifications / Kubernetes / AWS / Google Cloud Platform / NVIDIA certifications