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Data & AI Lead - Innovation & Execution

2 weeks ago

Sharjah city, United Arab Emirates Qataryello Full time

Overview As a global leader in technology, that are at the forefront of innovation, consistently pushing the boundaries of what's possible with Artificial Intelligence. Responsibilities Technical Strategy & Roadmap: Lead the technical definition and evolution of the AI, Generative AI, and Agent AI platform strategy, identifying key technical initiatives and architectural patterns required for scalable, robust, and innovative solutions. Large-Scale Platform Delivery Oversight: Provide deep technical oversight and guidance for the delivery of complex AI platforms, ensuring adherence to technical standards, performance metrics, and security requirements at an enterprise scale. Vendor & Partner Collaboration: Act as a primary technical liaison with leading AI technology vendors, evaluating new capabilities, driving strategic partnerships, and integrating third-party solutions into the internal AI ecosystem. Internal Team Enablement: Collaborate closely with in-house data science, machine learning engineering, and data engineering teams to understand technical challenges, unblock dependencies, and foster a culture of technical excellence and shared accountability for AI platform delivery. Innovation & Research Integration: Monitor cutting-edge AI research and industry trends (e.g., advanced LLM architectures, multi-modal AI, autonomous agents), identifying opportunities to integrate new capabilities into strategic AI initiatives and platforms. Qualifications Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related highly technical quantitative field. Minimum of 10+ years of progressive experience in technical roles within AI/ML engineering, data engineering, or a related field, with at least 4 years in a lead or strategic oversight position specifically focused on AI platforms. Deep technical expertise and hands-on experience in building and deploying large-scale AI systems, including familiarity with various AI paradigms (e.g., Supervised Learning, Reinforcement Learning, Generative AI, Agentic AI). Proven experience overseeing the delivery of Generative AI and Agent AI platforms, understanding their unique architectural requirements, data pipelines, and deployment challenges. #J-18808-Ljbffr