Enterprise AI Transformation Architect

IBM; Denver (CO); Híbrido; USD 170 000 - 250 000; Tempo integral

Resumo da oferta

IBM Consulting is seeking a senior Enterprise AI Architect to lead AI transformation programs for Fortune 500 clients. You will define roadmaps, design scalable AI architectures, and drive value realization across business and technology teams.

You will coach executives, lead workshops, and ensure governance, security, and responsible AI practices while partnering with product, engineering, and data teams to deploy production-ready solutions.

Qualificações

• 8+ years of experience in enterprise architecture, solution architecture, software engineering, technology consulting, or related fields.
• Experience leading AI transformation initiatives with measurable business outcomes.
• Strong executive communication and stakeholder management.
• Experience in client-facing roles and workshops.

Responsabilidades

• Define AI transformation strategies and roadmaps with executive stakeholders.
• Lead cross-functional teams through discovery, architecture, implementation, and adoption.
• Drive value realization through AI-powered business transformation.
• Establish governance, security, and responsible AI practices.
• Present technical and business solutions to executive and technical audiences.
• Coach delivery teams on AI best practices.

Conhecimentos

Agentic AI & Multi-Agent Systems

Generative AI & LLM Apps

Retrieval Augmented Generation (RAG)

Vector Databases

AI Orchestration Frameworks

Enterprise Integration Architecture

APIs, Microservices & Event-Driven

Cloud Platforms (Azure, AWS, GCP)

Kubernetes/OpenShift

AI Governance & Responsible AI

Descrição da oferta de emprego

IBM Consulting is seeking a senior Enterprise AI Architect to lead AI transformation programs for Fortune 500 clients. You will define roadmaps, design scalable AI architectures, and drive value realization across business and technology teams.

You will coach executives, lead workshops, and ensure governance, security, and responsible AI practices while partnering with product, engineering, and data teams to deploy production-ready solutions.