Principal AI Engineer

Job description

Location: Kingdom of Saudi Arabia Full-time/On-site Experience: More than 8 years Industry: Banking/Financial Services Who are we? the employer is a leading provider of AI-driven revenue acceleration solutions, headquartered in Singapore with a presence in India and the UAE. Founded in 2012, our mission has always been to simplify the world's choices. Today, we have evolved into Tangram.ai · a modular, GenAI-powered platform designed for enterprises. Tangram enables organizations to assemble intelligent agents, solutions, and models like building blocks to create, scale, and adapt AI-powered capabilities quickly, securely, and accurately. It is not just a platform, it is the operating layer of GenAI in the enterprise. Role Overview We are looking for a Lead AI Architect to own the end-to-end architecture of secure, enterprise-grade generative AI and AI infrastructure platforms for highly regulated banking environments. You will work closely with business, product, data science, engineering, infrastructure, and customer teams to translate business requirements into scalable AI solutions. What You'll Do • Design enterprise GenAI, LLM, RAG and AI/ML platforms for secure, on-premise, air-tight environments. • Designed GPU acceleration infrastructure using NVIDIA DGX, H100/B200, and NVLink/NVSwitch. • Designed AI platforms on Red Hat OpenShift/Kubernetes using NVIDIA GPU Operator. • Design, integration, NVIDIA NIM, Triton Inference Server, the employer and graph databases. • Create Architectures that support RAGs, knowledge graphs, and enterprise data pipelines. • Define security, scalability, performance and data sovereignty standards for banking environments. • Provide technical leadership and direction to data science, engineering and AI teams. • Evaluate emerging AI technologies and drive adoption of solutions that create measurable business impact. What we're looking for • 8+ years of experience in AI/ML, enterprise architecture, infrastructure, or related fields. • 3+ years designing large scale GenAI, LLM, AI/ML or GPU solutions. • Strong experience with NVIDIA GPUs, OpenShift, Kubernetes and GPU driver. • Working knowledge of NVIDIA NIM/Triton, the employer and Graph databases such as Neo4j/ArangoDB. • Strong understanding of RAG and LLM infrastructure, distributed systems and AI platforms. • Experience in banking/BFSI, FinTech or highly regulated environments. • Strong stakeholder management, problem solving and technical leadership skills. Brownie Points: Experience with air-gapped environments, large-scale LLM inference, knowledge graphs, agent AI, or recommender systems

Requirements

• Location: Kingdom of Saudi Arabia Full-time / On-site Experience: More than 8 years Industry: Banking / Financial Services Who are we?
• What we're looking for
• 8+ years of experience in AI/ML, enterprise architecture, infrastructure, or related fields.
• Strong experience with NVIDIA GPUs, OpenShift, Kubernetes, and GPU driver.
• Working knowledge of NVIDIA NIM/Triton, the employer and Graph databases such as Neo4j/ArangoDB.
• Experience in banking/BFSI, FinTech or highly regulated environments.
• Brownie Points: Experience with air-gapped environments, large-scale LLM inference, knowledge graphs, agent AI, or recommender systems.

Skills