indeed
AI Architecture Manager
Accenture
Riyadh, KSA
Full-time
Director
Onsite
Discovered 4 weeks ago
Generative AILarge Language Models (LLMs)Multi-modal AIAI ArchitectureEnterprise ArchitectureCloud Architecture
Free
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Generative AILarge Language Models (LLMs)Multi-modal AI
Role Overview
As an AI Architecture Manager, you will lead the design and evolution of enterprise AI platforms and architecture frameworks that enable scalable adoption of Artificial Intelligence across the organization.
You will define the target-state AI architecture, evaluate emerging technologies, and establish secure, governed, and high-performing AI foundations that support Generative AI, Large Language Models (LLMs), and advanced AI workloads.
Working closely with business and technology stakeholders, you will drive the implementation of enterprise AI capabilities that accelerate innovation while ensuring operational excellence and responsible AI practices.
Key Skills for This Role
Generative AILarge Language Models (LLMs)Multi-modal AIAI ArchitectureEnterprise ArchitectureCloud Architecture
Full Job Posting
Role Overview
As an AI Architecture Manager, you will lead the design and evolution of enterprise AI platforms and architecture frameworks that enable scalable adoption of Artificial Intelligence across the organization.
You will define the target-state AI architecture, evaluate emerging technologies, and establish secure, governed, and high-performing AI foundations that support Generative AI, Large Language Models (LLMs), and advanced AI workloads.
Working closely with business and technology stakeholders, you will drive the implementation of enterprise AI capabilities that accelerate innovation while ensuring operational excellence and responsible AI practices.
Key Responsibilities
- Design and evolve enterprise AI architecture frameworks, including Generative AI, Large Language Models (LLMs), and multi-modal AI solutions.
- Define target-state AI platform architectures and develop implementation roadmaps that support enterprise-wide AI adoption and scalability.
- Evaluate emerging AI technologies, platforms, and architectural patterns, providing recommendations on technology selection and investment decisions.
- Design and operationalize end-to-end AI foundations that support model development, deployment, monitoring, governance, and lifecycle management.
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