Chief Artificial Intelligence Officer (CAIO)

Callan Hawkins; New York (NY); Presencial; USD 250 000 - 500 000; Tempo integral

Resumo da oferta

Callan Hawkins seeks a visionary Chief Artificial Intelligence Officer to define and drive the organization's AI vision, translating cutting-edge AI, ML, and generative capabilities into scalable business growth. Lead cross-functional initiatives across the GCC and global markets, aligning technology with strategic growth.

You will oversee AI product lifecycles, governance, and partnerships, while building a world-class team of researchers and engineers and guiding investments in models, HPC,

Qualificações

• Must have advanced degree with mastery over LLMs, computer vision, data architecture, and MLOps.
• 15+ years of progressive technology leadership with international exposure and a track record of scaling AI/ML initiatives from concept to execution.
• Ability to bridge technical complexity with business strategy, ROI optimization, risk management, and organizational change management.
• Strong grasp of GCC tech ecosystem dynamics, AI mandates, digital transformation roadmaps, and data residency/regulatory requirements.

Responsabilidades

• Formulate and execute a holistic enterprise AI strategy aligned with growth goals and regional digital initiatives across the GCC.
• Oversee end-to-end lifecycles of AI products/models from ideation and build/buy decisions to deployment and integration.
• Define regulatory, data privacy, and ethical AI frameworks to mitigate risk and ensure compliance.
• Collaborate with CEO, CTO, CIO to identify, prioritize, and embed AI use cases across business units.
• Direct investments in foundational models, HPC, cloud infra, and data pipelines for scalable AI capabilities.
• Cultivate a world-class AI team and strategic alliances with global vendors and research institutes.

Conhecimentos

LLMs

Computer Vision

MLOps

Data Architecture

Executive Leadership

Strategic ROI

Risk Management

Change Management

GCC Knowledge

Data Residency

Formação académica

Master’s or PhD in CS/AI

Descrição da oferta de emprego

The Chief Artificial Intelligence Officer will define and drive the organization's overarching AI vision, translating cutting-edge artificial intelligence, machine learning, and generative capabilities into scalable, enterprise-grade business growth.

Job Responsibilities will include:

• Formulate and execute a holistic enterprise AI strategy aligned with company growth goals and regional digital transformation initiatives across the GCC.
• Oversee the end-to-end lifecycle of AI products and models, from ideation and infrastructure selection (build vs. buy) to full-scale deployment and integration.
• Define robust regulatory compliance, data privacy, and ethical AI frameworks to mitigate risk, ensuring compliance with global and regional data sovereignty standards.
• Collaborate closely with executive leadership (CEO, CTO, CIO) to identify, prioritize, and embed high-impact AI use cases across business units.
• Direct investments in foundational models, high-performance computing, cloud infrastructure, and data pipelines to maintain scalable and cost-effective AI capabilities.
• Cultivate a world-class team of AI researchers, ML engineers, and data scientists while nurturing strategic alliances with leading global tech vendors and research institutes.

Key Skills & Qualifications Required:

• Must have advanced degree (Master’s or Ph.D. preferred) in Computer Science, Artificial Intelligence, Machine Learning, or related fields, with mastery over LLMs, computer vision, data architecture, and MLOps.
• Must have 15+ years of progressive technology leadership experience with international experience, including a proven track record of minimum 4 years in scaling enterprise AI/ML initiatives from technical concept to commercial execution.
• Exceptional capability to bridge technical complexity with high-level business strategy, ROI optimization, risk management, and organizational change management.
• Strong grasp of GCC tech ecosystem dynamics, regional AI mandates, digital transformation roadmaps, and local data residency and sovereignty requirements.