Senior AI Engineer (Saudi Only)

Lucidya; Saudi Arabia; On-site; SAR 200,000 - 300,000; Full time

Job summary

A leading AI solutions provider in Saudi Arabia is seeking a Senior AI Engineer to drive the design and deployment of innovative AI-driven solutions. In this role, you will lead machine learning and deep learning model optimization, manage the complete AI lifecycle, and ensure ethical standards in AI deployment. You will collaborate with cross-functional teams, mentor junior engineers, and contribute to the organization's AI capabilities while staying updated with industry trends. This is an exciting opportunity to impact significant business challenges through advanced AI solutions.

Qualifications

• Proven experience in leading AI projects and model development.
• Strong understanding of machine learning and deep learning frameworks.
• Ability to mentor junior engineers and guide technical decisions.

Responsibilities

• Lead the design and optimization of machine learning models.
• Own the end-to-end AI lifecycle from definition to deployment.
• Architect scalable data pipelines for complex datasets.

Skills

Machine learning

Deep learning

Model deployment

TensorFlow

PyTorch

Data pipeline optimization

Job description

As a Senior AI Engineer, you will lead the design, development, and production deployment of AI-driven solutions that solve complex business problems at scale. This role goes beyond model training—you will take ownership of AI system architecture, influence technical direction, and ensure models are production-ready, scalable, and aligned with business objectives. You will play a key role in advancing the organization’s AI capabilities and mentoring other engineers while driving innovation across multiple AI domains.

Key Responsibilities

• Lead the design, development, and optimization of machine learning and deep learning models for real-world, production use cases.
• Own the end-to-end AI lifecycle, from problem definition and data exploration to model deployment, monitoring, and iteration.
• Architect and implement scalable, efficient data pipelines for training and inference on large and complex datasets.
• Evaluate model performance using robust metrics, conduct error analysis, and continuously improve model accuracy and reliability.
• Build and deploy neural networks using TensorFlow, PyTorch, or similar frameworks, ensuring production-grade quality.
• Collaborate closely with data engineers, software engineers, product managers, and domain experts to translate business needs into AI solutions.
• Drive technical decision-making around model selection, system architecture, and trade-offs (performance, cost, scalability).
• Ensure AI solutions follow ethical AI principles, data privacy standards, and regulatory requirements.
• Contribute to and review technical documentation, design proposals, and best practices for AI development.
• Mentor junior engineers and contribute to raising the overall technical bar of the AI team.
• Stay current with industry trends and research, and assess the adoption of new techniques or tools where they add real value.
• Support and improve model deployment, monitoring, and observability in production environments.