Lead AI Transformation Architect

IBM Computing

Houston (TX)

Hybrid

USD 140,000 - 200,000

Full time

9 days ago
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Job summary

IBM Consulting in the United States is seeking a senior AI transformation leader to partner with client executives to define AI roadmaps and oversee end-to-end implementations. You will design secure, scalable AI solutions and guide teams through discovery, architecture, deployment, and adoption across industries.

The role emphasizes governance, value realization, and responsible AI practices, with collaboration across engineering, product owners, and business process leaders to drive

Qualifications

  • 8+ years of architecture, engineering or advisory experience.
  • Proven ability to lead AI transformation initiatives.
  • Strong executive communication and stakeholder management.

Responsibilities

  • Partner with executives to define AI transformation strategies and roadmaps.
  • Identify opportunities to improve processes via AI and automation.
  • Design scalable, secure AI solutions aligned to business goals.
  • Lead cross-functional teams through discovery to adoption.
  • Establish governance, security, and responsible AI practices.
  • Advise clients on AI strategy, operating models, and adoption.
  • Define outcomes, KPIs, and value realization frameworks.
  • Develop AI reference architectures and reusable patterns.

Skills

Agentic AI & MAS
Generative AI & LLMs
Retrieval Augmented Generation
Vector Databases
AI Orchestration
Enterprise Integration
APIs & Microservices
Cloud Platforms
Kubernetes/OpenShift
AI Governance & Security

Job description

IBM Consulting in the United States is seeking a senior AI transformation leader to partner with client executives to define AI roadmaps and oversee end-to-end implementations. You will design secure, scalable AI solutions and guide teams through discovery, architecture, deployment, and adoption across industries.

The role emphasizes governance, value realization, and responsible AI practices, with collaboration across engineering, product owners, and business process leaders to drive

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