- Location
- Riyadh, KAFD 3.09, Saudi Arabia
- Workplace
- Onsite
- Type
- Full-time
- Department
- Engineering
- Seniority
- Manager
- Experience
- 10+ years
- Source
- Workday
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.
Job Qualifications
Basic 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.
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 are preferred.
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
