Principal AI Engineer

Principal Computer Vision & AI Engineer Location: Al Khobar, Saudi Arabia Role Overview We are looking for a highly experienced Principal Computer Vision & AI Engineer to lead the technical direction of production AI systems operating over live video streams in real-world environments. This is a hands-on technical leadership role rather than a people-management position. You will architect, build, optimise and deploy advanced computer vision, video understanding and multimodal/Vision-Language Model (VLM) systems while providing technical direction to senior engineers. Key Responsibilities - Architect and build production computer vision and video analytics systems. - Develop solutions across object detection, segmentation, tracking, event understanding and spatial reasoning. - Design and deploy VLM/multimodal AI systems operating over live and recorded video. - Own the full ML lifecycle: data strategy, experimentation, fine-tuning, evaluation, deployment and monitoring. - Optimise models for edge and cloud inference, balancing accuracy, latency, throughput and cost. - Establish automated model evaluation, regression testing and production monitoring. - Develop agentic AI systems capable of reasoning over video and interacting safely with tools, APIs, cameras and sensors. - Set technical architecture and engineering standards while remaining highly hands-on with code. What We're Looking For - Deep hands-on experience in Computer Vision / Video AI. - Strong production experience working with live or streaming video. - Strong PyTorch and/or TensorFlow experience. - Expertise across detection, segmentation and tracking using technologies such as YOLO, DETR/RT-DETR, GroundingDINO or equivalent. - Production experience with Vision-Language Models / multimodal models such as Qwen-VL, InternVL, LLaVA, Gemini or equivalent. - Experience deploying and optimising AI models in production. - Exposure to edge AI, ideally TensorRT, ONNX Runtime, NVIDIA Jetson or similar. - Strong understanding of model evaluation, MLOps, active learning and production monitoring. - Ability to operate as a Principal/Staff-level technical authority while remaining hands-on. Nice to Have - Agentic AI / tool-calling systems such as LangGraph, LangChain or equivalent. - Real-time CCTV, camera or video-streaming systems. - Industrial, construction, robotics, autonomous systems or safety-critical AI experience. - RAG / multimodal retrieval and vector search. - Self-hosted VLM/LLM serving such as vLLM or NIM. Critical requirement: Candidates must have substantial hands-on experience with video-based computer vision systems. Pure GenAI/LLM profiles without strong production video/CV experience will not be suitable.

• Principal Process Engineer (Offshore)

  Worley · Al Khobar, Eastern, Saudi Arabia

• Principal Specialist, Exploration & Project Development & Engineering Data Domain

  Maaden · Saudi Arabia

• Engineer Principal (FIDIC Engineer)

  Parsons Corporation · Riyadh, Riyadh, Saudi Arabia

• Inplant Principal Piping Layout Engineering Design - SME

  Wood · Saudi Arabia

• Principal / Lead Telecommunications Engineer (WAS Site)

  Worley · Turaif, Northern Frontier, Saudi Arabia

• Principal Process Design Engineer (Waste Treatment & Management)

  Worley · Al Khobar, Eastern, Saudi Arabia