Azure AI Foundry Architect

SkyLambda Inc; Dallas (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

SkyLambda Inc. is seeking a visionary AI architect to build enterprise-grade AI solutions on Microsoft Foundry and Azure OpenAI, shaping scalable cloud-native platforms.

You will design end-to-end architectures spanning applications, AI models, data, APIs, security, and governance, and implement retrieval-augmented generation using Azure AI Search and vector stores. The role covers agent design, model selection, prompt engineering, and integration with enterprise systems via REST, Logic Apps,

Responsibilities

• Architect and implement enterprise-grade AI solutions using Microsoft Foundry and Azure OpenAI.
• Design end-to-end architectures covering applications, AI models, agents, data, APIs, security, networking, monitoring, and governance.
• Design and implement RAG architectures using Azure AI Search, vector databases, embeddings, and enterprise knowledge sources.
• Architect AI agents and multi-agent solutions capable of reasoning, tool calling, retrieval, workflow execution, and integration with enterprise systems.
• Evaluate and select appropriate foundation models based on performance, cost, latency, context requirements, and business use cases.
• Design prompt engineering, grounding, context management, model routing, and response-generation strategies.
• Integrate AI agents with enterprise systems through REST APIs, OpenAPI, Azure Functions, Logic Apps, and other tools.
• Design secure AI architectures using Microsoft Entra ID, Managed Identity, RBAC, Key Vault, private networking, and Azure Policy.
• Establish appropriate data access and authorization controls, particularly for enterprise and multi-tenant RAG solutions.
• Implement AI evaluation, monitoring, tracing, observability, and quality measurement processes.
• Define architecture standards for AI reliability, scalability, security, performance, cost optimization

Job description

Welcome to SkyLambda — Powering Scalable Innovation in the Cloud [e-mail] [phone]

Responsibilities

• Responsibilities:
• Architect and implement enterprise-grade AI solutions using Microsoft Foundry and Azure OpenAI.
• Design end-to-end architectures covering applications, AI models, agents, data, APIs, security, networking, monitoring, and governance.
• Design and implement RAG architectures using Azure AI Search, vector databases, embeddings, and enterprise knowledge sources.
• Architect AI agents and multi-agent solutions capable of reasoning, tool calling, retrieval, workflow execution, and integration with enterprise systems.
• Evaluate and select appropriate foundation models based on performance, cost, latency, context requirements, and business use cases.
• Design prompt engineering, grounding, context management, model routing, and response-generation strategies.
• Integrate AI agents with enterprise systems through REST APIs, OpenAPI, Azure Functions, Logic Apps, and other tools.
• Design secure AI architectures using Microsoft Entra ID, Managed Identity, RBAC, Key Vault, private networking, and Azure Policy.
• Establish appropriate data access and authorization controls, particularly for enterprise and multi-tenant RAG solutions.
• Implement AI evaluation, monitoring, tracing, observability, and quality measurement processes.
• Define architecture standards for AI reliability, scalability, security, performance, cost optimization