Enterprise AI Architect – Cloud & Integrations (Remote US)

IBM Computing

Irving (TX)

Remote

USD 150,000 - 210,000

Full time

8 days ago
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Job summary

IBM Consulting in the US seeks a Senior Enterprise AI Solution Architect to design end-to-end AI systems, integrating models, data platforms, and core enterprise apps. You will lead architecture reviews and define integration patterns across services to drive value for clients.

Must have hands-on Azure AI experience (Azure OpenAI, Azure ML), strong IaC and CI/CD for AI workloads (Terraform, Bicep). You will mentor engineers, develop reusable assets, and contribute to AI governance and MLOps

Qualifications

  • 8+ years of enterprise architecture experience with AI/ML and cloud integration.

Responsibilities

  • Architect end-to-end enterprise AI solutions integrating models, data platforms, and enterprise systems into cohesive, production-grade architectures.
  • Define integration patterns across AI services, APIs, data pipelines, and core business systems to ensure interoperability and extensibility.
  • Translate complex business requirements into scalable AI-powered solution designs, with clear articulation of tradeoffs, risks, and value drivers.
  • Lead architecture design reviews and provide hands-on guidance to delivery teams across active engagements.
  • Contribute to practice development by building reusable assets, frameworks, and point-of-views that strengthen our AI delivery capability.

Skills

Enterprise architecture
AI/ML
Cloud infrastructure
Systems integration
Leadership
Client engagement

Tools

Azure OpenAI
Azure Machine Learning
Terraform
Bicep
CI/CD pipelines
Observability tooling
LangChain
Semantic Kernel
AutoGen

Job description

IBM Consulting in the US seeks a Senior Enterprise AI Solution Architect to design end-to-end AI systems, integrating models, data platforms, and core enterprise apps. You will lead architecture reviews and define integration patterns across services to drive value for clients.

Must have hands-on Azure AI experience (Azure OpenAI, Azure ML), strong IaC and CI/CD for AI workloads (Terraform, Bicep). You will mentor engineers, develop reusable assets, and contribute to AI governance and MLOps

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