AI Director

Riyadh, Saudi Arabia

Job Description

AI Model Development & Deployment: Lead design, development, and deployment of ML models, LLMs, and RAG systems with robust pipelines
Technology Leadership: Monitor emerging AI technologies, conduct strategic assessments, and drive adoption of cutting-edge AI frameworks and methodologies
Business Engagement: Collaborate with business units to identify AI use cases, translate requirements into technical solutions, and present strategic recommendations to executive leadership
Team Leadership: Build, lead, and mentor teams of data scientists and ML engineers while fostering innovation and continuous learning
AI Governance: Enforce AI governance frameworks, ethical guidelines, and organization-wide AI literacy initiatives
Strategic Planning: Develop AI roadmaps, manage project budgets, and coordinate cross-functional initiatives to drive business transformation
Innovation Management: Lead proof-of-concept initiatives, establish academic partnerships, and ensure scalable AI infrastructure for production applications

Job Requirements

Education & Experience: Bachelor's degree in Computer Science/Data Science/ML or relevant fields (Master's preferred) with 7-10 years progressive AI/ML experience including 3-5 years in leadership roles
Technical Expertise: Deep expertise in ML algorithms, LLMs, RAG architectures, and production deployment using frameworks and cloud services (GCP stack preferred)
Programming & Data: Expert Python programming, strong SQL skills, experience with big data technologies (Spark, Kafka) and cloud AI platforms
Leadership Experience: Proven track record building and scaling technical teams, managing P&L responsibility, and translating business requirements into AI solutions
Business Acumen: Strong presentation skills to communicate complex technical concepts to stakeholders, experience with AI governance and regulatory compliance
Industry Knowledge: Understanding of AI ethics, bias mitigation, responsible AI practices, and enterprise AI security best practices
Preferred Qualifications: Cloud certifications, active conference and event participation and track record of successful AI product launches

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