Artificial Intelligence Architect

Role: AI Architect

Location: Pittsburgh, PA(Hybrid – 3 days onsite and 2 days’ work from home)

Experience: 8+ years

Duration: Full Time

About the Role

We are looking for an AI Architect with deep hands-on expertise in building and modernizing enterprise-grade GenAI/RAG platforms on the Microsoft Azure ecosystem. The role involves architecting agentic AI solutions and evolving LLM orchestration layers on modern agent frameworks, working with containerized, production-scale environments.

Must-Have Skills

• Semantic Kernel + Microsoft Agent Framework — hands-on experience refactoring SK plugins, planners, function calling, and memory to Agent Framework agents/workflows (this is the critical, hardest-to-source skill)
• Python / Django — to rebuild the orchestration layer without breaking existing API contracts, RBAC, and permissions
• Azure AI Services / RAG — Azure AI Search (hybrid retrieval, semantic ranking), Azure OpenAI (inference + embeddings), preserving retrieval, reranking, prompt assembly, and citation paths.

High-Priority Skills

• Model Context Protocol (MCP) — for tool/connector integration and the Intelligence Layer channel
• OpenShift / containerization — to deploy migrated microservices on OCP
• Observability & Evaluation — Arize Phoenix + OpenTelemetry instrumentation, agent/agentic-system registration, and RAG quality/eval validation to confirm parity
• GitHub / CI-CD / DevSecOps — PR-based workflows and vulnerability remediation
• Medium-Priority Skills
• Redis Enterprise (caching/session state) and Azure APIM (gateway, rate limiting).

Pay: $150,000.00 - $160,000.00 per year

Work Location: In person