Senior AI Architect – Azure & Cloud AI

IBM

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Work type
On-site
Location
Dallas, TX
Posted
6 days ago

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Similar $208k
$159k most similar roles pay here $272k

This listing doesn't post a salary. Most similar roles pay $170,300–$246,150.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

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Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.

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TL;DR · Senior AI Architect – Azure & Cloud AI

As a Senior AI Architect at our firm, you will join a high-visibility enterprise engagement as the go-to technical authority for end-to-end Azure AI architecture. Your role involves providing thought leadership and defining the technical direction across complex multi-workstream AI programs by setting architectural vision, developing reference architectures, and mentoring team members on best practices. You will lead client engagements, translating business requirements into scalable, secure solutions using Azure OpenAI, Azure Machine Learning, and enterprise data platforms. Additionally, you will establish design standards for model deployment, orchestration, monitoring, and governance to ensure compliance with security and reliability requirements. The ideal candidate has extensive experience in designing AI platforms, building LLM-powered applications, and integrating AI systems with enterprise infrastructure, along with familiarity with agentic AI frameworks like LangChain and Azure data services such as Synapse and Data Factory.

What you'll do

  • Define and govern end-to-end Azure AI architecture for complex projects.
  • Develop reference architectures and reusable assets to accelerate AI delivery.
  • Translate business requirements into scalable, secure AI solutions on Azure.
  • Lead design sessions with stakeholders to align on technical approach and strategy.
  • Establish standards for model deployment, data integration, and AI observability.

What we're looking for

  • 8+ years experience leading implementation of enterprise-grade AI solutions in cloud and hybrid environments.
  • Design scalable AI platforms using Azure services for secure model deployment, orchestration, monitoring, and governance.
  • Build and operationalize LLM-powered applications with frameworks like LangChain and LangGraph.
  • Define agentic architectures including multi-agent orchestration, tool calling, memory management, and human-in-the-loop controls.
  • Establish best practices for AI industrialization, including CI/CD, model lifecycle management, observability, prompt/version management.
  • Integrate AI systems with enterprise applications, APIs, vector databases, workflow platforms, and operational systems.
  • Provide technical leadership in architecture reviews, platform strategy, vendor selection, and AI governance initiatives.

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