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Lead AI Architect

Cambridge
Posted 1 day ago
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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.

Core 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.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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.

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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.

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Skills

AI Architecture
GPU Architectures
Memory Bandwidth Constraints
Large-Scale Workload Simulation
Systems Integration
Deep Learning
Performance Modeling
Engineering Standards
Validation Methodologies
Cluster Optimization
Data Center Infrastructure
Open-Source Systems Software
Technical Strategy
Team Leadership
Mentoring
Collaboration

Location

Cambridge, England, United Kingdom

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