Senior Azure AI Architect
Budget: $15 – $25 USD
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I’m rolling out an enterprise-grade AI initiative that has to live entirely on Azure and operate through a multi-agent design. The core goal is text analysis: parsing and structuring long, complex, confidential internal documents, with the ability to extract insights and relationships, and create a report based on a predefined set of questions.
What I need from you is an architectural blueprint as well as technical leadership to make that vision real. You will guide service selection, security posture, data-flow design and agent orchestration so the final platform is scalable, compliant and easy to extend. Experience with Azure OpenAI, Cognitive Services, Azure Functions, Service Bus, vector search and role-based access control will help you hit the ground running, but I’m open to your preferred mix if it meets the brief.
Key deliverables
• A detailed high-level architecture showing how each agent collaborates, authenticates and scales within Azure, as well as how we ingest documents for analysis
• A component-level design that maps data ingress, transformation, storage and inference paths for internal document sets
• A concise implementation roadmap with milestones, risk notes and resource estimates
• Optionally, a small proof-of-concept that highlights your chosen approach to secure document ingestion and agent coordination
Acceptance criteria will be a signed-off architecture deck, reproducible infrastructure templates or scripts, and a POC demo (if we go for that add-on) that runs end-to-end in my Azure tenant.
If you have a track record of building similar text-analysis solutions on Azure, let’s talk so we can lock in timelines and next steps.
I’m rolling out an enterprise-grade AI initiative that has to live entirely on Azure and operate through a multi-agent design. The core goal is text analysis: parsing and structuring long, complex, confidential internal documents, with the ability to extract insights and relationships, and create a report based on a predefined set of questions.
What I need from you is an architectural blueprint as well as technical leadership to make that vision real. You will guide service selection, security posture, data-flow design and agent orchestration so the final platform is scalable, compliant and easy to extend. Experience with Azure OpenAI, Cognitive Services, Azure Functions, Service Bus, vector search and role-based access control will help you hit the ground running, but I’m open to your preferred mix if it meets the brief.
Key deliverables
• A detailed high-level architecture showing how each agent collaborates, authenticates and scales within Azure, as well as how we ingest documents for analysis
• A component-level design that maps data ingress, transformation, storage and inference paths for internal document sets
• A concise implementation roadmap with milestones, risk notes and resource estimates
• Optionally, a small proof-of-concept that highlights your chosen approach to secure document ingestion and agent coordination
Acceptance criteria will be a signed-off architecture deck, reproducible infrastructure templates or scripts, and a POC demo (if we go for that add-on) that runs end-to-end in my Azure tenant.
If you have a track record of building similar text-analysis solutions on Azure, let’s talk so we can lock in timelines and next steps.