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AI Architect - Enterprise GenAI Solutions
United States
Full Remote
AI Summary
Design and build AI applications on Azure for enterprise clients, owning end-to-end architecture decisions. Develop full-stack solutions using C#, Python, React, and AI frameworks like LangChain and Semantic Kernel. Lead deployment, optimization, and cost management in production environments.
Key Highlights
Hands-on architectural ownership with end-to-end design decisions
Enterprise GenAI applications in production for critical clients
Full-stack development with C#, Python, React, and Azure AI services
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Key Responsibilities
Design and build AI applications on Azure using AKS, Container Apps, Blob Storage, Document Intelligence, AI Foundry, and VNETs
Develop full-stack solutions using C#, Python, and React with LangChain, Semantic Kernel, Entity Framework Core, and FastAPI
Build secure, resilient, and cost-efficient systems at scale
Work directly with data scientists and engineers to turn early-stage ideas into production-ready applications
Lead deployment and optimization in Azure with focus on cost and maintainability
Technical Skills Required
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Benefits & Perks
Fully remote
Job Description
AI Architect — US
We're hiring an AI Architect for a US-headquartered AI and data consultancy — around 200 people, founded by operators rather than career consultants, and certified across the major cloud and AI platforms. The work is enterprise GenAI: real applications, in production, for clients who depend on them.
This is a hands-on architecture role. You'll own design decisions end to end rather than inherit someone else's, and you'll still be writing code
What you'll do
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