Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design of AI-integrated operating systems and enhance user experiences.
- Company: Join a prestigious global tech research centre in London, shaping the future of smart devices.
- Benefits: Enjoy competitive perks, innovative projects, and the chance to work with top experts in AI.
- Why this job: Be at the forefront of AI innovation, making a real impact on next-gen technology.
- Qualifications: Extensive OS architecture knowledge and experience in AI/ML techniques required.
- Other info: Ideal for those passionate about AI and eager to drive technological advancements.
The predicted salary is between 43200 - 72000 £ per year.
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.
System Architecture Expert (AI) employer: European Tech Recruit
Contact Detail:
European Tech Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land System Architecture Expert (AI)
✨Tip Number 1
Network with professionals in the AI and operating systems field. Attend industry conferences, webinars, or local meetups to connect with experts and learn about the latest trends. This can help you gain insights into what companies like us are looking for in candidates.
✨Tip Number 2
Showcase your expertise by contributing to open-source projects related to AI and operating systems. This not only demonstrates your skills but also helps you build a portfolio that highlights your practical experience, making you a more attractive candidate for us.
✨Tip Number 3
Engage with thought leaders in the AI community on platforms like LinkedIn or Twitter. Share your insights and participate in discussions about emerging technologies. This can increase your visibility and position you as a knowledgeable candidate when applying to us.
✨Tip Number 4
Prepare for technical interviews by brushing up on system architecture concepts and AI/ML techniques. Practise explaining complex ideas clearly and concisely, as communication is key in our collaborative environment. This will help you stand out during the interview process.
We think you need these skills to ace System Architecture Expert (AI)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive knowledge of operating system architecture and your experience with AI/ML techniques. Use specific examples from your past work that demonstrate your ability to lead advanced research projects.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and OS design. Discuss how your background in AI research aligns with the responsibilities of the role, particularly in shaping long-term technology visions and integrating machine learning into operating systems.
Showcase Relevant Projects: Include details about any relevant projects you've led or contributed to, especially those involving AI-driven user experiences or intelligent platforms. Highlight any publications in top-tier conferences that showcase your expertise.
Proofread and Format: Before submitting your application, ensure that your documents are free from errors and formatted professionally. A well-organised application reflects your attention to detail and professionalism, which is crucial for a role at this level.
How to prepare for a job interview at European Tech Recruit
✨Showcase Your Technical Expertise
Be prepared to discuss your extensive knowledge of operating system architecture and low-level systems programming. Highlight specific projects where you've applied AI/ML techniques at the system level, especially in intelligent or embedded platforms.
✨Demonstrate Strategic Vision
Articulate your ability to shape long-term technology visions. Discuss how you have defined technology roadmaps in previous roles and how you can align innovation opportunities with strategic goals for the company.
✨Engage with Real-World Applications
Prepare examples of how you've integrated advanced machine learning techniques into production environments. Be ready to talk about your experience leading research projects and how those results were implemented in real-world applications.
✨Communicate Effectively
Strong communication skills are essential. Practice explaining complex technical concepts in a way that is accessible to non-technical stakeholders. Emphasise your experience in stakeholder engagement and collaboration with internal and external experts.
