System Architecture Expert (AI)

A prestigious global technology research center based in London is seeking a visionary AI Systems Architect to redefine how intelligent features are built into the core of smart device operating systems. This is a high-impact opportunity to lead architectural innovation at the intersection of AI and OS design. The successful candidate will help drive the evolution of next-generation intelligent platforms by integrating advanced machine learning capabilities at the system level.Key ResponsibilitiesArchitect next-generation operating system components that natively support AI functionalities, enabling efficient model execution and intelligent resource management.Embed advanced machine learning techniques into OS frameworks to enhance power efficiency, scheduling, and real-time responsiveness across device classes.Design and implement adaptive application frameworks that enable AI-driven user experiences.Monitor and evaluate developments in system-level intelligence and emerging AI technologies.Define long-term technology roadmaps and identify innovation opportunities aligned with strategic goals.Produce detailed technical specifications and architectural documentation to support integration and development teams.Collaborate with internal and external experts to assess and implement competitive AI innovations.Candidate Profile - Essential Skills & ExperienceExtensive knowledge of operating system architecture, including low-level systems programming.Proven track record in applying AI/ML techniques at the system level, particularly within intelligent or embedded platforms.Strong analytical and strategic planning skills; capable of shaping long-term technology visions.Background in AI research, including one or more of: natural language processing (NLP), computer vision, or machine reasoning.Demonstrated experience leading advanced research projects and integrating results into production environments.Excellent communication and stakeholder engagement skills, with a focus on strategic collaboration.Preferred QualificationsPhD in Computer Science, Engineering, or a closely related field.Publications in top-tier AI or systems conferences (e.g., NeurIPS, ICML, CVPR, OSDI).Experience bringing AI-powered products to market, especially within consumer electronics or mobile ecosystems.Familiarity with mobile OS frameworks and knowledge of AI acceleration (e.g., NPU, GPU, DSP).If you're excited by the opportunity to shape the future of AI-native operating systems, we encourage you to apply. Send your CV to nk@ or apply now to take the next step in your career.

Created: 2025-08-01