Remote Enterprise AI Solution Architect

IBM

Irving (TX)

On-site

USD 130,000 - 170,000

Full time

4 hours ago
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Job summary

IBM Consulting is seeking a senior enterprise AI architect to design end-to-end AI solutions across data platforms, models, and enterprise systems. You will shape integration patterns and provide hands-on guidance to delivery teams in large, multi-engagement programs.

The role emphasizes platform engineering, observability, and governance, with opportunities to influence pre-sales and client strategy across the US.

Qualifications

  • 8+ years of experience in enterprise architecture spanning AI/ML, cloud infrastructure and systems integration.
  • Hands-on experience designing enterprise AI solutions on Azure (Azure OpenAI, Azure ML) and related data services.
  • Strong grounding in platform engineering, infrastructure-as-code (Terraform, Bicep) and CI/CD for AI workloads.
  • Experience building observability/monitoring for AI/ML in production environments.
  • Ability to define AI governance, responsible AI, and compliance at enterprise scale.

Responsibilities

  • Architect end-to-end enterprise AI solutions integrating AI models, data platforms, and enterprise systems.
  • Define integration patterns across AI services, data pipelines and core business systems.
  • Translate business requirements into scalable AI-powered designs with clear tradeoffs and risks.
  • Lead architecture design reviews and guide delivery teams across engagements.
  • Contribute reusable assets, frameworks, and POVs to strengthen AI delivery capability.
  • Design Azure-based platform infrastructure and CI/CD pipelines for AI workloads.
  • Champion MLOps practices and governance across the team.

Skills

Enterprise architecture
Cloud strategy
Stakeholder communication
Mentor / leadership
Pre-sales engagement

Tools

Terraform
Bicep
CI/CD
Azure OpenAI
Azure Machine Learning
Microsoft Fabric

Job description

IBM Consulting is seeking a senior enterprise AI architect to design end-to-end AI solutions across data platforms, models, and enterprise systems. You will shape integration patterns and provide hands-on guidance to delivery teams in large, multi-engagement programs.

The role emphasizes platform engineering, observability, and governance, with opportunities to influence pre-sales and client strategy across the US.

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