1 Back End Infrastructure jobs in the United Kingdom
System Architecture Expert (AI)
Posted 7 days ago
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Job Description
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 Responsibilities
- Architect 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 & Experience
- Extensive 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 Qualifications
- PhD 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 or apply now to take the next step in your career.
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