Lead AI Architect

IC Resources Recruitment; Town Of Cambridge; On-site; AUD 230,000 - 345,000; Full time

Benefits offered by this job

Competitive salary package

Pension

Comprehensive health benefits

Job summary

IC Resources Recruitment is seeking a Lead AI Architect for a UK-based deep-tech company in Cambridge. The role defines the technical direction for an advanced modeling environment to analyze full-stack AI inference performance.

You will bridge hardware engineering, software systems and DL workloads, drive the strategic roadmap, establish validation methods and guide a team of engineers while engaging with executives and external partners.

Qualifications

• Postgraduate degree (PhD or equivalent) in Computer Science, Computer Architecture, or related quantitative field.
• Proven track record leading complex engineering projects from prototype to deployment.
• Deep technical knowledge of GPU architectures and memory bandwidth constraints.
• Familiarity with distributed inference frameworks and data-center infrastructure is desirable.

Responsibilities

• Drive the long-term technical roadmap for an enterprise-grade performance modeling platform.
• Bridge semiconductor hardware engineering, systems software and DL model workloads.
• Establish validation methodologies and high-performance engineering standards.
• Act as chief technical voice translating infrastructure concepts for executives and partners.
• Mentor a team of systems and research engineers, fostering innovation.

Skills

GPU architectures

Memory bandwidth

Workload simulation

Distributed inference frameworks

Education

Postgraduate degree (PhD) in Computer Science/Architecture

Tools

Open-source systems software

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

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