Strategic Ai Compute Architect

Ic Resources Recruitment; Cambridge; On-site; AUD 232,000 - 367,000; Full time

Benefits offered by this job

Competitive salary

Pension

Health benefits

Professional network

Central UK hub office

Job summary

IC Resources Recruitment in Cambridge is seeking a Lead AI Architect to define the technical direction for a next‑generation AI compute infrastructure. You will lead the architectural roadmap for an enterprise modeling platform aimed at analyzing full‑stack AI inference performance, aligning hardware, software and data center considerations.

The ideal candidate holds a PhD or equivalent research background, with a proven record delivering large-scale engineering projects and strong ability to

Qualifications

• PhD or equivalent research background required.
• Bachelor's degree in Computer Science or related field.
• Experience leading large-scale engineering projects.

Responsibilities

• Drive long-term technical roadmap for an enterprise-grade performance modeling platform.
• Bridge hardware engineering, software and DL workloads.
• Establish validation methodologies and high engineering standards.
• Serve as chief technical voice for executives and external partners.
• Mentor engineers and foster innovative culture.

Skills

GPU architectures

Distributed inference

Performance modeling

Leadership

Data center infrastructure

Education

Bachelor's degree

PhD or equivalent industry research background

Job description

Lead AI Architect Overview

• Company Name: IC Resources Recruitment
• Job Role: Lead AI Architect
• Qualifications: Bachelor's
• Category: IT Jobs
• Job Type: Full Time
• Location: Cambridge

A leading deep-tech organization in the UK is searching for a Principal AI Architect to spearhead a significant initiative focused on next-generation AI compute infrastructure. This well-funded company collaborates with major industry partners, research institutions, and public entities to enhance large-scale AI deployment. As AI models evolve rapidly, it is crucial to understand the interplay between hardware limitations, software optimization, and energy consumption. This senior role will be responsible for defining the technical direction and architectural roadmap for an advanced modeling environment aimed at analyzing full-stack AI inference performance.

Core 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 complex infrastructure concepts for senior executives and external partners.
• Mentor a highly skilled group of systems and research engineers, cultivating an innovative engineering culture.

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 is desirable.

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.

Degree Requirement: Bachelor’s

Visa Sponsorship May be