Lead AI Architect

About Crayon Data

Crayon Data is a leading provider of AI-led revenue acceleration solutions. Headquartered in Singapore, the company maintains a presence in India and the UAE. Founded in 2012, Crayon Data's mission is to simplify choices through technology. The company has evolved to offer *****, a modular, GenAI-powered platform designed for enterprise use. ***** enables organizations to assemble intelligent agents, solutions, and models to create, scale, and adapt AI-powered capabilities with speed, security, and precision, serving as an operating layer for GenAI in the enterprise.

Role Overview

Crayon Data is seeking a Lead AI Architect to manage the end-to-end architecture of secure, enterprise-grade Generative AI and AI infrastructure platforms. This full-time position is based in Riyadh, Saudi Arabia, and focuses on highly regulated banking environments. The Lead AI Architect will collaborate with Business, Product, Data Science, Engineering, Infrastructure, and client teams to translate business requirements into scalable AI solutions.

Key Responsibilities

• Architect enterprise GenAI, LLM, RAG, and AI/ML platforms for secure on-premise and air-gapped environments.
• Design GPU-accelerated infrastructure utilizing NVIDIA DGX, H100/B200, and NVLink/NVSwitch technologies.
• Architect AI platforms on Red Hat OpenShift/Kubernetes, integrating the NVIDIA GPU Operator.
• Design and integrate NVIDIA NIM, Triton Inference Server, DataRobot, and Graph Databases.
• Build architectures that support RAG, Knowledge Graphs, and enterprise data pipelines.
• Define security, scalability, performance, and data-sovereignty standards for banking environments.
• Provide technical leadership and guidance to Data Science, Engineering, and AI teams.
• Evaluate emerging AI technologies and drive the adoption of solutions that deliver measurable business impact.

Qualifications and Experience

• A minimum of 5-10 years of experience in a relevant field.
• Demonstrated strong stakeholder management abilities.
• Proven problem-solving skills.
• Strong technical leadership capabilities.

Preferred Experience

Candidates with experience in air-gapped environments, large-scale LLM inference, Knowledge Graphs, Agentic AI, or recommendation systems are encouraged to apply.