Senior AI Transformation Architect - Hybrid

International Business Machines Corporation; Boston (MA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

IBM Consulting is seeking an experienced AI transformation leader to shape enterprise AI roadmaps and govern AI programs. You will partner with executives, design scalable AI architectures, and guide teams through discovery to deployment across client environments.

Lead workshops, define business outcomes, and ensure secure, production-ready AI solutions that align with client goals and governance standards.

Qualifications

• 8+ years of experience in enterprise or solution architecture, software engineering, or tech consulting.
• Experience linking technology solutions to measurable business outcomes.
• Proven ability to lead workshops, discovery engagements, and transformation programs.

Responsibilities

• Partner with executives to define AI transformation strategies and roadmaps.
• Identify AI opportunities to improve business processes and automation.
• Design scalable, secure AI solutions aligned to business goals.
• Lead cross-functional teams through discovery, architecture, and deployment.
• Govern AI practices across engagements with governance and security.
• Serve as trusted advisor on AI strategy and operating models.
• Assess client challenges and drive AI-driven innovation.
• Facilitate workshops, envisioning sessions, and transformation planning.
• Define outcomes, KPIs, and value realization roadmaps.
• Architect end-to-end AI-enabled enterprise solutions.

Skills

Agentic AI & Multi-Agent Systems

Generative AI & LLM Apps

Retrieval Augmented Generation

Vector Databases

AI Orchestration Frameworks

Enterprise Integration Architecture

APIs & Microservices

Cloud Platforms (Azure, AWS, GC)

Kubernetes/OpenShift

AI Governance & Security

Job description

IBM Consulting is seeking an experienced AI transformation leader to shape enterprise AI roadmaps and govern AI programs. You will partner with executives, design scalable AI architectures, and guide teams through discovery to deployment across client environments.

Lead workshops, define business outcomes, and ensure secure, production-ready AI solutions that align with client goals and governance standards.