JOB PURPOSE: 

The AI & Software Section Head is responsible for driving the technical vision, development, and productization of intelligent, data-driven software systems. This role encompasses the entire machine learning and software development lifecycle, from research and data ingestion to model deployment and monitoring. The position will build proprietary machine learning models and scalable applications, acting as a core technical expert to deliver innovative digital solutions that align with the company's strategic goals.

RESPONSIBILITIES/DUTIES 

Technical Leadership & Team Mentorship 

• Lead the recruitment, mentorship, and professional development of a high-performing, multidisciplinary team of software engineers and data scientists.

• Strategize the long-term technical roadmap, ensuring that team output consistently addresses both immediate operational requirements and future-state digital goals.

• Foster a culture of technical excellence by championing peer code reviews, continuous learning, and the adoption of cutting-edge development methodologies. 

Architecture & Advanced Development 

• Lead the design and execution of scalable, production-grade machine learning systems, specifically focusing on the implementation of agentic AI workflows.

• Oversee the end-to-end machine learning lifecycle, from complex data ingestion and feature engineering to the final deployment of high-performing models.

• Execute the development of robust, user-facing applications by integrating sophisticated backend AI models with modern full-stack frameworks.

MLOps & Operational Excellence 

• Lead the implementation of comprehensive MLOps frameworks to ensure the repeatability, traceability, and reliability of all AI-driven deployments.

• Establish stringent quality assurance protocols and performance benchmarks to maintain the integrity and safety of all production environments.

• Strategize incident resolution and continuous improvement initiatives by conducting deep-dive analysis of system performance and technical data.

Stakeholder Engagement & Strategic Integration 

• Lead collaborative efforts with product management and business development units to translate intricate enterprise challenges into tractable technical solutions.

• Represent the technical department as a subject matter expert, translating complex AI capabilities into clear, actionable business insights for non-technical stakeholders.

• Monitor the global digital landscape to integrate emerging enterprise-level tools and technologies that optimize service delivery and operational efficiency.

Safety Responsibilities:

• Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.

• Comply with the requirements of RDMC RQHSE Policy and Safety Management System.

• Be mindful that Safety, Security, and Environmental protection are everyone’s responsibility. All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.

ESSENTIAL QUALIFICATIONS, KNOWLEDGE & EXPERIENCE

QUALIFICATIONS: 

• Bachelor’s degree in computer science, Information Systems, or a related technical field

• Professional fluency in both English and Arabic; proficiency in French is highly preferred.

KNOWLEDGE: 

• Expert-level proficiency in Python and leading ML frameworks such as TensorFlow, PyTorch, or JAX. 

• Strong theoretical command of deep learning, Natural Language Processing (NLP), and statistical modeling. 

• Demonstrated mastery of modern full-stack development, specifically using Next.js for the deployment of scalable, user-facing AI applications. 

EXPERIENCE: 

• 7–10 years of progressive experience in software development and data science, with a proven track record of owning complex, enterprise-level AI projects from ideation to production.

• Proven track record of owning complex, enterprise-level AI projects from ideation to production.

DESIRED BEHAVIORS & EXPERIENCES

• Exceptional ability to deconstruct technical jargon into strategic narratives for non-technical stakeholders.

• Working in Agile/Scrum environments with a focus on "Privacy by Design" and ethical AI development.

• Exhibit a "product-owner" mindset, taking full accountability for the long-term scalability and ethical integrity of AI solutions rather than focusing solely on immediate code execution.

• Acts as a proactive advocate for AI adoption across the organization, demonstrating the patience and persistence required to overcome institutional resistance to new digital workflows.

• Outstanding analytical and problem-solving skills, with the ability to translate technical information into clear insights for non-technical stakeholders.