AI Architecture Manager

Accenture Middle East; Saudi Arabia; On-site; SAR 450,000 - 750,000; Full time

Job summary

Accenture Middle East is seeking an AI Architecture Manager to lead the design and evolution of enterprise AI platforms and architecture frameworks that enable scalable AI adoption across the organization.

You will define target-state AI architecture, evaluate emerging technologies, and establish secure, governed AI foundations for Generative AI, LLMs, and advanced AI workloads.

Qualifications

• 10–12 years in AI/enterprise architecture or related leadership roles.
• Experience designing enterprise-scale AI and ML platforms.
• Strong knowledge of Generative AI, LLMs, and multi-modal models.
• Proficiency with cloud platforms and AI/ML services.
• Expertise in governance security and Responsible AI frameworks.
• Ability to lead architecture decisions across cross-functional teams.

Responsibilities

• Design and evolve enterprise AI architecture frameworks for scalable AI adoption.
• Define target-state AI platform architectures and roadmaps.
• Evaluate technologies and provide recommendations for selections.
• Design end-to-end AI foundations for development, deployment, and monitoring.
• Integrate data platforms, AI/ML ecosystems, and cloud infrastructure.
• Architect custom platform components to meet scalability and performance needs.
• Optimize compute and model-serving environments for cost efficiency.
• Establish AI platform standards and governance practices.
• Collaborate with security, data, and business teams on compliance.

Skills

AI architecture

Enterprise architecture

Cloud architecture

MLOps

Governance

Security

Stakeholder management

Kubernetes

Cost optimization

Tools

Kubernetes

Containerization

Vector databases

Cloud services (Azure/AWS/GCP)

Job description

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
• Assess and integrate technologies across data platforms AI ML ecosystems cloud infrastructure security controls and governance frameworks
• Architect and develop custom platform components that 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 that support 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 ensure AI architecture aligns with enterprise objectives and regulatory requirements
• Provide technical leadership and guidance throughout AI transformation and modernization initiatives

Experience & Qualifications

• 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.
• 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 are preferred.