AI Solutions Architect Sr. Expert

Overview:

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.

Key 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:

Education:

Bachelor's degree in Engineering, Computer Science, or equivalent; Master's/PhD preferred. Experience:

8+ years of experience in AI/ML or data science, with hands-on deployment in industrial environments.

Experience integrating AI into cloud or edge computing platforms.

Skills and competencies:

Strong programming skills in Python and ML frameworks such as TensorFlow or PyTorch.

Familiarity with industrial technologies including IoT, robotics, and computer vision is an asset.