At a Glance
- Tasks: Design and deliver innovative Microsoft Data & AI solutions for major clients.
- Company: Join CGI, a leader in data and AI innovation.
- Benefits: Competitive salary, excellent pension, private healthcare, and share scheme.
- Other info: Hybrid role with opportunities for mentorship and career growth.
- Why this job: Shape the future of AI while collaborating with top experts in the field.
- Qualifications: Experience in Microsoft Data & AI solutions and strong communication skills.
The predicted salary is between 80000 - 100000 € per year.
At CGI, we help organisations use data and AI to drive innovation and business transformation. You will design secure, enterprise-scale AI solutions using Azure, Fabric, Copilot, and modern analytics platforms. Working with CGI and Microsoft experts, you will shape technical strategy, support major client programmes, and deliver impactful solutions across industries. This is a hybrid position.
Your future duties and responsibilities:
- Lead the design and governance of Microsoft Data & AI solutions across client engagements, helping organisations adopt secure, scalable, and responsible AI technologies.
- Collaborate with technical teams, support strategic opportunities, and mentor colleagues across the business.
Key responsibilities:
- Design Microsoft Data & AI architectures
- Deliver scalable AI and analytics solutions
- Support bids and early-stage solution development
- Engage senior client stakeholders
- Embed security, governance, and Responsible AI principles
- Collaborate with CGI and Microsoft specialists
- Mentor architects and engineers
Required Qualifications to be Successful In This Role:
You should have strong experience delivering Microsoft Data & AI solutions within enterprise environments, alongside excellent stakeholder engagement and communication skills.
Essential Skills:
- Microsoft Azure Data & AI architecture experience
- Knowledge of Microsoft Fabric, Databricks, OneLake, and Purview
- Experience with AI and Copilot solutions, including RAG patterns
- Understanding of security, governance, and compliance
- Strong collaboration and stakeholder management skills
Principal Microsoft Data & AI Architect in London employer: CGI
At CGI, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Principal Microsoft Data & AI Architect, you will not only have the opportunity to work with cutting-edge technologies but also benefit from a competitive salary, comprehensive pension scheme, and private healthcare. Our commitment to employee growth is evident through mentorship opportunities and our unique share scheme, allowing you to become a partner in our success while working in a hybrid environment that promotes work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Microsoft Data & AI Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those at CGI or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with Microsoft Data & AI solutions. When you get the chance to chat with potential employers, let your work speak for itself.
✨Tip Number 3
Be ready for interviews! Research common questions for roles like Principal Microsoft Data & AI Architect and practice your answers. We want you to feel confident discussing your expertise in Azure and AI technologies.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Principal Microsoft Data & AI Architect in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Principal Microsoft Data & AI Architect role. Highlight your experience with Azure, Fabric, and AI solutions to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and AI, and how your background makes you the perfect fit for this role at CGI.
Showcase Your Projects:If you've worked on any relevant projects, don’t hold back! Share specific examples of how you've designed and implemented Microsoft Data & AI solutions, as this will demonstrate your hands-on experience.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining our team!
How to prepare for a job interview at CGI
✨Know Your Tech Inside Out
Make sure you’re well-versed in Microsoft Azure, Fabric, and the latest AI solutions. Brush up on your knowledge of Databricks and OneLake, as these will likely come up during the interview. Being able to discuss specific projects where you've implemented these technologies will really impress the interviewers.
✨Showcase Your Stakeholder Skills
Since this role involves engaging with senior client stakeholders, prepare examples that highlight your communication and collaboration skills. Think about times when you successfully managed expectations or navigated complex discussions. This will demonstrate your ability to build relationships and influence decision-making.
✨Emphasise Security and Governance
Given the focus on secure and responsible AI, be ready to discuss how you’ve embedded security and governance principles in your previous projects. Share specific instances where you ensured compliance and addressed potential risks, as this will show your understanding of the importance of these aspects in AI solutions.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think through potential challenges you might face in designing AI architectures and how you would approach them. Practising these scenarios can help you articulate your thought process clearly during the interview.
