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This is a full-time, on-site leadership position based in Dubai. Candidates must be willing to relocate to Dubai.
As the Head of AI, you will be responsible for shaping and executing our AI roadmap—from data strategy to model deployment and monitoring. You will lead a multidisciplinary team of ML engineers, data scientists, and Product Managers to build AI systems that power core business functions like underwriting, pricing, fraud detection, customer engagement, and AI-first product experiences. You will work closely with Product, Engineering, and Business teams to define and launch AI-powered capabilities—including computer vision and AI agent applications—that drive measurable business value.
Key Responsibilities
- Define and execute the company’s AI strategy aligned with business and product objectives
- Identify and prioritize high-impact AI/ML use cases across underwriting, pricing, claims, fraud detection, and customer service
- Lead the design, development, and deployment of machine learning models across domains such as:
- Natural Language Processing (e.g., document parsing, claims narratives, chatbot intent detection)
- Computer Vision (e.g., damage assessment from images, document classification, identity verification)
- Predictive Modeling (e.g., risk scoring, fraud detection, churn prediction)
- Generative AI (e.g., summarization, auto-responses, document synthesis)
- AI Agents (e.g., multi-step task automation, dynamic customer support agents, claims triaging assistants)
- Collaborate with Product Managers to scope and deliver AI-powered features, ensuring feasibility, performance, and alignment with user needs
- Translate business requirements into robust AI/ML solutions and product-integrated systems
- Drive the productization of ML models, including testing, deployment, performance monitoring, and continuous iteration
- Design and oversee AI features that are interpretable, user-centric, and embedded in customer-facing workflows
- Build and lead a high-performing AI/ML team; hire, mentor, and foster a culture of innovation and excellence
- Partner cross-functionally with Engineering, Product, Design, Actuarial, and Claims teams to integrate AI deeply into the platform
- Establish best practices for model governance, fairness, explainability, and risk controls
- Define and implement scalable, cloud-based MLOps infrastructure for training, deployment, and monitoring
- Define and implement scalable, cloud-based MLOps infrastructure for training, deployment, and monitoring
- Own data strategy, including acquisition, labeling, enrichment, and privacy-compliant usage of structured, unstructured, and image data
- Collaborate with data engineering to ensure high-quality, scalable pipelines across structured and visual inputs
- Stay up to date with the latest advancements in computer vision, NLP, LLMs, AI agents, and foundational model ecosystems
- Evaluate and integrate third-party CV/AI APIs, pretrained models, and partnerships as needed to accelerate innovation
Qualifications
- 10+ years in AI/ML roles, with at least 5+ years in leadership roles.
- Proven experience applying AI/ML in insurance, fintech, or other regulated industries
- Strong knowledge of machine learning, deep learning, NLP, computer vision, and applied statistics
- Hands-on experience deploying CV models in production for tasks such as image classification or object detection
- Experience leading cross-functional product development of AI features and tools
- Proficient in Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, OpenCV)
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (e.g., MLflow, Kubeflow, Airflow)
- Strong communication and storytelling skills with both technical and non-technical stakeholders
Nice-to-Haves
- Background in insurance claims automation, computer vision pipelines, or document AI
- Familiarity with LLMs, prompt tuning, and GenAI techniques
- Experience designing and deploying AI agents for process automation or customer engagement
- Experience with document understanding pipelines (multi-modal vision + NLP models)
- Master’s or PhD in Computer Science, Machine Learning, or a related field
- Published work, open-source contributions, or patents in AI/ML or computer vision
Why Join Us?
- We're not just deploying AI—we're building a platform where AI is the core product. This is your chance to shape a category-defining company, build high-impact systems, and lead innovation from the ground up.
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