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AI Systems Architect - Digital Workforce
Marco Technologies
Remote, USA
Full-time
Senior · 8+ years experience
Remote
USD 151504-249982 yearly / year
Discovered 1 weeks ago
Azure AI FoundryMicrosoft FabricAzure OpenAIAzure AI ServicesCopilot ecosystemREST APIs
Free
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Azure AI FoundryMicrosoft FabricAzure OpenAI
Key Skills for This Role
Azure AI FoundryMicrosoft FabricAzure OpenAIAzure AI ServicesCopilot ecosystemREST APIs
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What You'll Do
Architect intelligent systems and AI platforms Design end-to-end AI architectures across cloud, hybrid, and enterprise environments Build proof-of-concepts and production-ready AI solutions leveraging generative AI ecosystems Define reusable architecture patterns, standards, and technical frameworks Create scalable designs for AI agents, orchestration workflows, retrieval systems, and enterprise integrations Balance innovation, scalability, supportability, and operational excellence Evaluate emerging technologies and rapidly determine practical business applications
Design end-to-end AI architectures across cloud, hybrid, and enterprise environments
Build proof-of-concepts and production-ready AI solutions leveraging generative AI ecosystems
Define reusable architecture patterns, standards, and technical frameworks
Create scalable designs for AI agents, orchestration workflows, retrieval systems, and enterprise integrations
Balance innovation, scalability, supportability, and operational excellence
Evaluate emerging technologies and rapidly determine practical business applications
Lead AI platform and integration strategy Design interfaces between AI systems and enterprise applications using APIs, service architectures, and event-driven systems Architect modern system-to-system integrations across Microsoft, SaaS, cloud, and line-of-business platforms Establish standards for AI interoperability and orchestration Develop patterns for context sharing, workflow coordination, and AI communication Help define Marco’s approach to emerging standards including Model Context Protocol (MCP), agent interoperability, and modern AI communication frameworks Develop scalable architectural approaches for AI-to-system connectivity
Design interfaces between AI systems and enterprise applications using APIs, service architectures, and event-driven systems
Architect modern system-to-system integrations across Microsoft, SaaS, cloud, and line-of-business platforms
Establish standards for AI interoperability and orchestration
Develop patterns for context sharing, workflow coordination, and AI communication
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