Azure AI Foundry Architect

onsite, Dallas, Texas

$100/hour

Posted 1 weeks ago

Job Description

We are seeking an experienced Azure AI Foundry Architect to design, architect, and implement enterprise-grade AI and generative AI solutions on Microsoft Azure. The ideal candidate will have strong experience with Azure AI Foundry, Azure OpenAI, AI/ML architecture, RAG, AI agents, LLM orchestration, Azure AI Search, APIs, security, and cloud-native architecture.

The architect will work closely with business stakeholders, data scientists, developers, cloud architects, and engineering teams to translate business requirements into scalable, secure, and production-ready AI solutions.

Technical Skills:

8+ years of experience in software development, cloud architecture, or AI/ML engineering, with strong experience designing enterprise solutions.
3+ years of hands-on experience with Azure AI / Generative AI / LLM-based solutions.
Strong hands-on experience with Microsoft Azure AI Foundry / Microsoft Foundry.
Experience architecting solutions using Azure OpenAI and foundation models.
Strong understanding of AI agents, agent orchestration, tool calling, and multi-agent architectures.
Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.
Strong experience with Azure AI Search, vector search, semantic search, embeddings, indexing, and knowledge retrieval.
Experience with Microsoft Foundry Agent Service and agent-based architectures.
Strong programming experience in Python, with knowledge of C#/.NET being an advantage.
Experience developing and integrating REST APIs, OpenAPI, Functions, Logic Apps, and enterprise applications.
Strong understanding of Azure architecture, networking, identity, security, and governance.
Experience with Microsoft Entra ID, Managed Identity, Azure Key Vault, RBAC, Private Endpoints, and Azure Policy.
Experience implementing AI security, responsible AI, content filtering, data protection, and access controls.
Experience with Azure Monitor, Application Insights, tracing, logging, evaluation, and AI observability.
Experience with CI/CD, Git, Azure DevOps, infrastructure as code, and automated deployment pipelines.
Strong understanding of data architecture, APIs, databases, vector stores, and enterprise data integration.

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

Azure AI Foundry Architect

Job Description

Responsibilities

Required Skills

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