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Artificial Intelligence Architect
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What they do
A Generative Artificial Intelligence Engineer develops, designs, and manages generative models and algorithms that support the generation of new content in the form of images, text, audio, and other multimedia. They utilize GPTs, GANs, VAEs, and other deep learning architectures to craft systems capable of generating data. May work with data scientists, machine learning engineers, and software developers.
$109,885 / year median in Pennsylvania
Job Description
Artificial Intelligence Architect EXL Service - 3.4 Pittsburgh, PA Job Details Full-time $150,000 - $160,000 a year 22 hours ago Benefits Work from home Qualifications AI models Search engines Azure Data permissions AI platforms (beyond public GPTs) Prompt engineering
RBAC Redis Django GitHub APIs Generative AI Full Job Description 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
Benefits
- Dental Insurance