GenAI & RAG Platform Architect (Azure)

EXL; Pittsburgh (Allegheny County); Hybrid; USD 150,000 - 230,000; Full time

Job summary

EXL is seeking an AI Architect to design and modernize enterprise-grade GenAI/RAG platforms on Azure. You will architect agentic AI solutions, evolve LLM orchestration layers, and deploy in containerized, production-scale environments.

Hybrid work mix includes 3 days onsite and 2 days remote in Pittsburgh. Ideal candidates bring 8+ years of experience and hands-on expertise with Semantic Kernel, Microsoft Agent Framework, Python/Django, Azure AI Services, and robust observability using

Qualifications

• Must have hands-on experience refactoring SK plugins, planners, function calling, and memory to Agent Framework agents/workflows.
• Proficient in Python/Django to rebuild orchestration layer while preserving API contracts and RBAC permissions.
• Deep knowledge of Azure AI Services, RAG, Azure OpenAI, embeddings, and retrieval with proper citation paths.
• Familiarity with tool integration via MCP for the Intelligence Layer channel.
• Experience with OpenShift/containerized deployments and OCP.
• Experience with observability/validation using OpenTelemetry and Arize Phoenix.
• Strong GitHub CI/CD workflows and DevSecOps practices at scale.

Skills

Semantic Kernel

Microsoft Agent Framework

Python

Django

Azure AI Services

RAG

Model Context Protocol

GitHub CI/CD

DevSecOps

OpenTelemetry

Arize Phoenix

Tools

OpenShift

Containerization

Azure APIM

Redis Enterprise

Job description

EXL is seeking an AI Architect to design and modernize enterprise-grade GenAI/RAG platforms on Azure. You will architect agentic AI solutions, evolve LLM orchestration layers, and deploy in containerized, production-scale environments.

Hybrid work mix includes 3 days onsite and 2 days remote in Pittsburgh. Ideal candidates bring 8+ years of experience and hands-on expertise with Semantic Kernel, Microsoft Agent Framework, Python/Django, Azure AI Services, and robust observability using