AI Architecture Manager📣 Job Ad

About the AI Architecture Manager Role

Accenture Saudi Arabia is seeking an AI Architecture Manager to join its team in Riyadh. This full-time role involves leading the design and evolution of enterprise AI platforms and architecture frameworks, enabling the scalable adoption of Artificial Intelligence across the organization. The manager will define target-state AI architecture and evaluate emerging technologies to establish robust AI foundations.

Role Purpose and Scope

The primary purpose of this role is to establish secure, governed, and high-performing AI foundations that support Generative AI, Large Language Models (LLMs), and advanced AI workloads. Working in close collaboration with business and technology stakeholders, the AI Architecture Manager will drive the implementation of enterprise AI capabilities. This includes accelerating innovation while ensuring operational excellence and adherence to responsible AI practices.

Core Responsibilities

• Design and evolve enterprise AI architecture frameworks, including Generative AI, LLMs, and multi-modal AI solutions.
• Define target-state AI platform architectures and develop implementation roadmaps for enterprise-wide AI adoption and scalability.
• Evaluate emerging AI technologies, platforms, and architectural patterns, providing recommendations on technology selection and investment.
• Design and operationalize end-to-end AI foundations supporting model development, deployment, monitoring, governance, and lifecycle management.
• Assess and integrate technologies across data platforms, AI/ML ecosystems, cloud infrastructure, security controls, and governance frameworks.
• Architect and develop custom platform components to address enterprise AI scalability, performance, and operational requirements.
• Optimize compute infrastructure and model-serving environments to improve performance, availability, observability, and cost efficiency.
• Establish AI platform standards, architectural principles, and best practices for secure and scalable AI delivery.
• Implement Responsible AI, security, compliance, risk management, and governance controls across AI platforms and solutions.
• Collaborate with engineering, data, security, and business teams to align AI architecture with enterprise objectives and regulatory requirements.
• Provide technical leadership and guidance throughout AI transformation and modernization initiatives.

Required Qualifications and Experience

• 10-12 years of experience in AI Architecture, Enterprise Architecture, Cloud Architecture, Data Platforms, or related technology leadership roles.
• Proven experience designing and implementing enterprise-scale AI and Machine Learning platforms.
• Strong understanding of Generative AI, Large Language Models (LLMs), multi-modal AI models, and modern AI architecture patterns.
• Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform and their AI/ML services.
• Expertise in MLOps, AI platform engineering, model deployment, monitoring, and AI operations.
• Experience designing governance, security, compliance, and Responsible AI frameworks for enterprise solutions.
• Strong understanding of distributed systems, cloud-native architectures, and scalable infrastructure design.
• Experience leading architecture decisions and influencing technology strategy across cross-functional teams.

Preferred Qualifications

• Experience building enterprise AI foundations, AI Centers of Excellence (CoE), or large-scale AI transformation programs.
• Knowledge of Retrieval-Augmented Generation (RAG), vector databases, AI agents, orchestration frameworks, and advanced AI platform architectures.
• Experience with Kubernetes, containerization, distributed computing, and high-performance AI infrastructure.
• Expertise in AI observability, model performance optimization, platform reliability, and cost management.
• Strong stakeholder management, consulting, and executive communication skills.
• Relevant certifications in Cloud Architecture, Artificial Intelligence, Machine Learning, or Enterprise Architecture.

Employment Details

This is a full-time position based in Riyadh, Saudi Arabia. Further details regarding the application process will be provided upon interest.