Lead AI Architect in Cambridge

Lead AI Architect in Cambridge

Cambridge Full-Time 80000 - 98000 £ / year (est.) No working from home possible
IC Resources

At a Glance

  • Tasks: Lead the development of next-gen AI compute infrastructure and mentor a skilled engineering team.
  • Company: A 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 scaling enterprise.
  • Qualifications: Postgraduate degree in a relevant field and proven leadership in complex engineering projects.

The predicted salary is between 80000 - 98000 £ 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 optimisation, and energy consumption is paramount. This senior, high‑visibility role will own the technical direction and architectural roadmap for an advanced modelling environment designed to analyse full‑stack AI inference performance.

Core Responsibilities

  • Technical Strategy: Drive the long‑term technical roadmap for an enterprise‑grade performance modelling 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 optimisation, data centre 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 Cambridge 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.

IC Resources

Contact Details:

IC Resources Recruitment Team

We think you need these skills to ace Lead AI Architect in Cambridge

Technical Strategy Development
Systems Integration
Engineering Standards Establishment
Executive Communication
Team Leadership
GPU Architecture Knowledge
Memory Bandwidth Constraints Understanding