Enterprise AI Platform Architect (Azure | MLOps)

IBM; Irving (TX); Remote; USD 140,000 - 190,000; Full time

Job summary

IBM Consulting in the United States seeks an experienced Enterprise AI Solution Architect to design and implement scalable AI platforms that integrate AI models, data platforms, and enterprise systems across the business. You will drive end-to-end architecture and guide delivery teams through complex engagements.

This role emphasizes platform engineering, governance, development lifecycle, and observability with a focus on Azure-based infrastructure.

Qualifications

• 8+ years of enterprise architecture experience spanning AI/ML, cloud infrastructure, and systems integration.
• Hands-on design of enterprise AI solutions on Azure (Azure OpenAI, Azure Machine Learning) and supporting data services.
• Strong grounding in infrastructure-as-code and CI/CD patterns for AI workloads.
• Experience building observability and monitoring solutions for AI/ML systems in production.
• Proven ability to define and enforce AI governance, responsible AI, and compliance frameworks at enterprise scale.
• Comfortable leading design conversations with both technical teams and client stakeholders.

Responsibilities

• Architect end-to-end enterprise AI solutions that integrate AI 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.

Job description

IBM Consulting in the United States seeks an experienced Enterprise AI Solution Architect to design and implement scalable AI platforms that integrate AI models, data platforms, and enterprise systems across the business. You will drive end-to-end architecture and guide delivery teams through complex engagements.

This role emphasizes platform engineering, governance, development lifecycle, and observability with a focus on Azure-based infrastructure.