Lead AI Architect

Intellectual Capital Resources; Cambridge; On-site; GBP 59,000 - 99,000; Full time

Benefits offered by this job

Pension

Health benefits

Job summary

Intellectual Capital Resources in Cambridge is seeking a senior technical leader to own the architectural roadmap for an enterprise AI compute platform. You will translate complex infrastructure concepts for executives and partners, bridging hardware, systems software and deep learning workloads.

You will mentor a skilled team of systems and research engineers, shape validation methodologies, and drive long-term technical strategy in a fast-growing UK deep-tech environment with a strong pension

Qualifications

• Postgraduate degree (PhD or equivalent industry research background) in Computer Science, Computer Architecture, or a highly quantitative engineering field.
• Proven track record of leading complex, high-impact engineering projects from prototype phase to robust deployment.
• Deep technical knowledge of GPU architectures, memory bandwidth constraints, and large-scale workload simulation.
• Practical familiarity with distributed inference frameworks, cluster optimization, data center infrastructure, or open-source systems software.

Responsibilities

• Drive the long-term technical roadmap for an enterprise-grade performance modeling platform.
• Bridge the gap between semiconductor hardware engineering, systems software, and deep learning model workloads.
• Establish validation methodologies and high-performance engineering standards across multiple technical teams.
• Serve as the chief technical voice, translating highly complex infrastructure concepts for senior executives and external partners.
• Mentor a highly skilled group of systems and research engineers, cultivating an innovative engineering culture.

Skills

Leadership experience

GPU architectures expertise

Distributed inference familiarity

High-performance computing

Education

PhD or equivalent in CS/CE/Engineering

Job description

Salary: £59,000 - 99,000 per year

Requirements:

• Postgraduate degree (PhD or equivalent industry research background) in Computer Science, Computer Architecture, or a highly quantitative engineering field
• Proven track record of leading complex, high-impact engineering projects from prototype phase to robust deployment
• Deep technical knowledge of GPU architectures, memory bandwidth constraints, and large-scale workload simulation
• Practical familiarity with distributed inference frameworks, cluster optimization, data center infrastructure, or open-source systems software

Responsibilities:

• Drive the long-term technical roadmap for an enterprise-grade performance modeling platform
• Bridge the gap between semiconductor hardware engineering, systems software, and deep learning model workloads
• Establish validation methodologies and high-performance engineering standards across multiple technical teams
• Serve as the chief technical voice, translating highly complex infrastructure concepts for senior executives and external partners
• Mentor a highly skilled group of systems and research engineers, cultivating an innovative engineering culture

Technologies:

• AI
• Hardware
• Network
• Architect

More:

We are a well-funded, high-growth UK deep-tech organisation leading a flagship initiative focused on next-generation AI compute infrastructure. We collaborate with major industry partners, research institutions, and public bodies to accelerate large-scale AI deployment. This is a senior, high-visibility role owning the technical direction and architectural roadmap for an advanced modeling environment designed to analyse full-stack AI inference performance. We offer a defining leadership position within a heavily backed, scaling technology enterprise, a highly competitive salary package with pension and comprehensive health benefits, a strong professional network spanning elite commercial and academic circles, and a central office location in a major UK technology hub.