At a Glance
- Tasks: Lead the technical direction for next-gen AI compute infrastructure and mentor a skilled engineering team.
- Company: High-growth UK deep-tech organisation with major industry collaborations.
- Benefits: Highly competitive salary, pension, health benefits, and a strong professional network.
- Other info: Central office in a major UK tech hub with excellent career growth opportunities.
- Why this job: Shape the future of AI technology and make a significant impact in a dynamic environment.
- Qualifications: Postgraduate degree in a relevant field and proven leadership in complex engineering projects.
The predicted salary is between 80000 - 100000 £ per year.
A well-funded, high-growth UK deep-tech organisation is seeking a Principal AI Architect to lead a flagship initiative focused on next-generation AI compute infrastructure. The company collaborates with major industry partners, research institutions, and public bodies to accelerate large-scale AI deployment. As models scale rapidly, understanding the intersection of hardware constraints, software optimization, and energy consumption is paramount. This senior, high-visibility role will own the technical direction and architectural roadmap for an advanced modeling environment designed to analyse full-stack AI inference performance.
Responsibilities
- Technical Strategy: Drive the long-term technical roadmap for an enterprise-grade performance modeling platform
- Systems Integration: Bridge the gap between semiconductor hardware engineering, systems software, and deep learning model workloads
- Engineering Standards: Establish validation methodologies and high-performance engineering standards across multiple technical teams
- Executive Liaison: Serve as the chief technical voice, translating highly complex infrastructure concepts for senior executives and external partners
- Team Leadership: Mentor a highly skilled group of systems and research engineers, cultivating an innovative engineering culture
Qualifications
- Education: Postgraduate degree (PhD or equivalent industry research background) in Computer Science, Computer Architecture, or a highly quantitative engineering field
- Leadership: Proven track record of leading complex, high-impact engineering projects from prototype phase to robust deployment
- Technical Expertise: Deep technical knowledge of GPU architectures, memory bandwidth constraints, and large-scale workload simulation
- Desirable Assets: Practical familiarity with distributed inference frameworks, cluster optimization, data center infrastructure, or open-source systems software
What is offered
- A defining leadership position within a heavily backed, scaling technology enterprise
- Highly competitive salary package, pension, and comprehensive health benefits
- Strong professional network spanning elite commercial and academic circles
- Central office location in a major UK technology hub
Please contact Charles Duran for more information.
Lead AI Architect in Peterborough employer: IC Resources
IC Resources is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Cirencester. With a strong commitment to employee growth, you will have access to continuous learning opportunities and the chance to work on cutting-edge projects that make a real impact in rugged hardware design. Join us to be part of a supportive team that values your expertise and encourages you to thrive in a challenging yet rewarding environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Architect in Peterborough
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at IC Resources or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to IC Resources.
✨Tap into Online Developer Communities
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✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Lead AI Architect in Peterborough
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at IC Resources.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at IC Resources and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at IC Resources
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If IC Resources uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.