AI Infrastructure Architect in London

AI Infrastructure Architect in London

London Full-Time 63000 - 77000 £ / year (est.) No working from home possible
H

At a Glance

  • Tasks: Design and optimise AI infrastructure for real-world applications while mentoring junior engineers.
  • Company: Join Accenture, a leader in innovative technology solutions.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic role with ownership and leadership opportunities in a collaborative environment.
  • Why this job: Make a real impact on AI-driven projects and enhance your technical skills.
  • Qualifications: Experience in infrastructure engineering and coding skills are essential.

The predicted salary is between 63000 - 77000 £ per year.

You can get further details about the nature of this opening, and what is expected from applicants, by reading the below.

hackajob is partnering directly with Accenture to hire for this role.

YOU ARE

As a hands-on Infrastructure Architect, you are an experienced engineer with several years in infrastructure engineering who now takes on more complex, higher-impact work designing andoptimizingthe AI and machine learning infrastructure that powers real-world applications.

Working alongside senior architects and engineers and increasingly leading your own workstreams you apply proven skills in coding, testing, configuring, deploying, monitoring, and troubleshooting AI systems and the infrastructure they run on.

Day to day, you architect and optimize infrastructure components, write and review code and deployment scripts, design and tune cloud and on-premises compute resources such as GPU clusters and distributed training environments, deploy AI systems and models into production, and build and optimize data pipelines that feed AI and ML workflows.

Youoptimizethe computational stack for performance, cost, power, and scalability, monitor AI systems and infrastructure health across both Infra Opsand MLOpsdisciplines, perform AI monitoring to track model and system performance, and independently troubleshoot and resolve complex issues across the stack.

You also mentor junior engineers, contribute to architectural decisions, and helpestablishbest practices.

This is a hands-on, ownership-driven role where you apply and deepen your expertise across modern tools and platforms including container orchestration, model serving, CI/CD pipelines, Infra Ops, MLOps, and AI monitoring while making meaningful contributions to infrastructure that enables AI-driven business outcomes.

  • THE WORK
  • Write, review, and debug code, scripts, and infrastructure-as-code for AI infrastructure, automation, and tooling, setting standards for quality across the team.
  • Architect, configure, and provision compute resources across cloud and on-premises environments, including GPU clusters and distributed training setups, optimizing forperformance andutilization.
  • Design andmaintaindeployment automation and CI/CD pipelines to support reliable, repeatable releases of AI systems, models, and applications. xgikmsk
  • Deploy AI systems, models, and data pipelines into production, defining and improving the processes and best practices others follow.
  • Le Please click on the apply button to read the full job description

AI Infrastructure Architect in London employer: Hackajob

Joining Google as a Security Platform Engineer in the UK Public Sector means becoming part of a dynamic and innovative team dedicated to delivering secure private cloud services for critical customers. With a strong emphasis on employee growth, you will have access to cutting-edge technology and collaborative opportunities that foster professional development. The inclusive work culture at Google encourages creativity and teamwork, making it an exceptional employer for those seeking meaningful and impactful work in a supportive environment.

H

Contact Details:

Hackajob Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Infrastructure Architect in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Hackajob or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Hackajob.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Hackajob.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Hackajob that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace AI Infrastructure Architect in London

Infrastructure Engineering
AI and Machine Learning Infrastructure Design
Coding
Testing
Configuration
Deployment
Monitoring

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Hackajob.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Hackajob and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Hackajob

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Hackajob uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.