Native Intelligent System Architecture Expert

Expert in Native AI-Driven System Architecture
Overview
A leading global tech research centre based in London is seeking a seasoned expert in system-level AI integration, particularly within smart device operating systems. The successful candidate will help shape the future of intelligent software platforms by architecting core system components that natively support AI functionality. The role involves driving the convergence of OS architecture with cutting-edge AI models and techniques.
Primary Responsibilities

• Lead the design and development of next-gen operating system components that seamlessly support built-in AI capabilities, enhancing model execution efficiency and system responsiveness.
• Integrate advanced machine learning techniques into core OS layers to optimize performance, power efficiency, and resource scheduling across smart devices.
• Develop adaptive application frameworks that leverage AI capabilities, enabling next-generation user experiences.
• Continuously monitor developments in system-level intelligence, validate emerging technologies, and define forward-looking technology roadmaps.
• Produce comprehensive architectural documentation and technical specifications to guide AI integration efforts.

Candidate Profile

• Essential Skills & Experience
• Strong grounding in operating system design and low-level architecture, with proven experience applying AI techniques at the system layer.
• Strategic thinker with the ability to analyze trends in intelligent platforms and formulate long-term roadmaps for AI-native system development.
• A solid background in artificial intelligence research, particularly in NLP, computer vision, and machine reasoning.
• Demonstrated leadership in advanced technology research, with a track record of identifying and integrating competitive AI innovations into product pipelines.
• Ability to engage with industry experts, assess the strategic value of technical advancements, and translate them into internal capabilities.

Preferred Qualifications

• Doctorate in Computer Science, Engineering, or related technical field, with a strong understanding of large-scale AI models and platform integration.
• Publications in leading AI or systems research conferences are a strong plus.
• Hands-on experience bringing AI-powered products to market.
• Familiarity with mobile OS platforms and system software frameworks, including knowledge of AI acceleration at the hardware level.