Job Openings AI Architect

About the job AI Architect

AI Architect (Relocation to KSA)

Lead the design of intelligent systems that shape the future.
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 Do

  • Define and design end-to-end AI architectures for enterprise-scale applications

  • Lead solution design for ML and GenAI systems, including model training, deployment, and lifecycle management

  • Translate business requirements into scalable, maintainable AI systems architecture

  • Evaluate, select, and integrate open-source and commercial AI tools and frameworks

  • Collaborate with data engineers, ML engineers, DevOps, and product stakeholders to ensure seamless integration

  • Set architectural standards and establish best practices in ML Ops, model governance, and security

  • Architect solutions across cloud platforms (e.g., Azure, AWS, GCP) and hybrid environments

  • Provide technical leadership and mentorship to engineering and data science teams

  • Stay ahead of AI trends, evaluating emerging technologies and methods for practical application

What You Bring

  • 7+ years of experience in software, data, or AI/ML engineering

  • 3+ years in an architecture role involving the design and deployment of AI/ML solutions

  • Deep knowledge of machine learning, deep learning, and generative AI techniques

  • Hands-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/CD

  • Ability to engage both technical and non-technical stakeholders, and communicate architectural decisions clearly

  • Strategic mindset with strong problem-solving and system-level thinking



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