AI Architect
- Riyadh
- Permanent
- Full-time
As an AI Architect, you'll play a key role in guiding the design, development, and deployment of scalable and secure AI solutions that deliver real business value. You'll work at the intersection of strategy, data, and technology defining architecture patterns, ensuring best practices, and bridging teams across engineering, data science, and operations.You'll lead high-impact projects that involve machine learning, generative AI, computer vision, NLP, and more building future-ready platforms that accelerate innovation and intelligence across enterprise environments.What You'll DoDefine and design end-to-end AI architectures for enterprise-scale applicationsLead solution design for ML and GenAI systems, including model training, deployment, and lifecycle managementTranslate business requirements into scalable, maintainable AI systems architectureEvaluate, select, and integrate open-source and commercial AI tools and frameworksCollaborate with data engineers, ML engineers, DevOps, and product stakeholders to ensure seamless integrationSet architectural standards and establish best practices in ML Ops, model governance, and securityArchitect solutions across cloud platforms (e.g., Azure, AWS, GCP) and hybrid environmentsProvide technical leadership and mentorship to engineering and data science teamsStay ahead of AI trends, evaluating emerging technologies and methods for practical applicationWhat You Bring7+ years of experience in software, data, or AI/ML engineering3+ years in an architecture role involving the design and deployment of AI/ML solutionsDeep knowledge of machine learning, deep learning, and generative AI techniquesHands-on experience with cloud-native AI stacks (e.g., Azure ML, SageMaker, Vertex AI) and ML Ops frameworks (e.g., ML flow, Kubeflow, Airflow)Strong programming background (Python, Scala, or Rust preferred)Solid understanding of data architecture, APIs, microservices, and distributed computing (e.g., Spark, Kubernetes)Experience designing secure, production-grade AI systems with monitoring and CI/CDAbility to engage both technical and non-technical stakeholders, and communicate architectural decisions clearlyStrategic mindset with strong problem-solving and system-level thinking