AI Infra Architect: GPU, MLOps & Production Lead

AI Infra Architect: GPU, MLOps & Production Lead

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Accenture

At a Glance

  • Tasks: Design and optimise AI infrastructure for real-world applications while mentoring junior engineers.
  • Company: Join Accenture, a leading global professional services company in London.
  • Benefits: Competitive salary, career development opportunities, and a dynamic work environment.
  • Other info: Collaborative team culture with opportunities for growth and innovation.
  • Why this job: Make a real impact on AI-driven business outcomes and shape the future of technology.
  • Qualifications: Bachelor's Degree in Computer Science and experience in AI/ML applications required.

The predicted salary is between 70000 - 90000 £ per year.

ACCENTURE is looking for a skilled Infrastructure Architect to join our team in London. In this hands-on role, you will design and optimize the AI infrastructure that powers real-world applications. Your expertise will contribute to building and deploying AI systems while mentoring junior engineers along the way.

With a Bachelor's Degree in Computer Science and practical experience in AI/ML applications, you will influence architectural decisions and guide teams in optimizing infrastructure for performance and scalability. Join us in making meaningful contributions to AI-driven business outcomes.

AI Infra Architect: GPU, MLOps & Production Lead employer: Accenture

At Accenture, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is evident through mentorship opportunities and continuous learning initiatives, ensuring that you can thrive in your role as an AI Infra Architect. Join us to be part of a forward-thinking team that values your contributions and empowers you to make a real impact in the world of AI.

Accenture

Contact Details:

Accenture Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Infra Architect: GPU, MLOps & Production Lead

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 Accenture 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 Accenture.

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 Accenture.

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 Accenture 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 Infra Architect: GPU, MLOps & Production Lead

AI Infrastructure Design
MLOps
Performance Optimization
Scalability Solutions
Mentoring
Architectural Decision-Making
AI/ML Applications

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 Accenture.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Accenture 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 Accenture

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 Accenture 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.