About the Role:
The AI Solutions Architect is responsible for designing, developing, and deploying AI-driven solutions that enhance industrial operations and decision-making. This role focuses on leveraging advanced machine learning techniques to improve efficiency, reduce costs, and drive digital transformation across asset-heavy environments.
Responsibilities:
- Design scalable, end-to-end AI architectures for predictive maintenance, anomaly detection, and process automation.
- Collaborate with business, data, and engineering teams to gather requirements and translate them into practical AI solutions.
- Lead applied AI research initiatives and prototype development for high-impact industrial use cases.
- Ensure seamless integration of AI models with on-premise and cloud-based industrial systems.
- Develop standards and best practices for responsible and ethical use of AI within the organization.
- Mentor junior data scientists and engineers, fostering a culture of innovation and experimentation.
- Align solution design with Aramco's broader digital transformation roadmap and objectives.
Qualifications:
- Bachelor's degree in Engineering, Computer Science, or equivalent; Master's/PhD preferred.
- 8+ years of experience in AI/ML or data science, with hands-on deployment in industrial environments.
- Strong programming skills in Python and ML frameworks such as TensorFlow or PyTorch.
- Experience integrating AI into cloud or edge computing platforms.
- Familiarity with industrial technologies including IoT, robotics, and computer vision is an asset.
