Senior AI Systems Architect & Platform Leader

Senior AI Systems Architect & Platform Leader

Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Women in Data®

At a Glance

  • Tasks: Design and deliver innovative AI systems while leading engineering teams.
  • Company: Women in Data® - a leader in the data and AI space.
  • Benefits: Competitive salary, hybrid work, and 25 days annual leave.
  • Other info: Be part of a dynamic team shaping the future of technology.
  • Why this job: Join us to make a significant impact in the world of data and AI!
  • Qualifications: Expertise in agentic AI systems and consultancy experience required.

The predicted salary is between 80000 - 100000 £ per year.

Women in Data® is hiring an AI Systems Architect to join our Core Engineering Practice in Greater London. The role focuses on designing and delivering innovative AI systems while providing technical leadership to engineering teams.

We offer a competitive salary, hybrid working arrangement, and 25 days of annual leave. Ideal candidates will have expertise in agentic AI systems and proven experience in consultancy environments.

Join us to make a significant impact in the world of data and AI!

Senior AI Systems Architect & Platform Leader employer: Women in Data®

At Women in Data®, we pride ourselves on being an exceptional employer that champions innovation and inclusivity in the tech industry. Our collaborative work culture fosters creativity and growth, offering employees ample opportunities for professional development while enjoying a competitive salary and a flexible hybrid working arrangement. Join us in Greater London to be part of a forward-thinking team dedicated to making a meaningful impact in the realm of AI and data.

Women in Data®

Contact Details:

Women in Data® Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Systems Architect & Platform Leader

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 Women in Data® 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 Women in Data®.

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 Women in Data®.

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 Women in Data® 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 Senior AI Systems Architect & Platform Leader

Python
SQL
Problem-Solving Skills
Data Engineering
Communication Skills
Data Pipeline Development
API Integration

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 Women in Data®.

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

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 Women in Data® 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.