At a Glance
- Tasks: Lead the design and delivery of enterprise-scale AI and data solutions using Microsoft technologies.
- Company: Join a leading Microsoft Partner with a focus on innovation and client success.
- Benefits: Earn up to £110k, enjoy a 5% bonus, and benefit from home-based working.
- Other info: Flexible working with opportunities for professional growth and certification support.
- Why this job: Shape the future of AI and data architecture while mentoring teams and driving innovation.
- Qualifications: Proven experience in Azure data solutions and strong AI architecture expertise required.
The predicted salary is between 66000 - 77000 £ per year.
Pearson Carter are currently working with a leading Microsoft Partner who are looking to appoint a Principal AI & Data Architect to lead the design and delivery of enterprise-scale data and AI solutions. This is a senior, client-facing role combining architecture leadership, pre-sales engagement, and governance across complex Microsoft-based programmes. You will act as Design Authority across Azure, Fabric, Dynamics 365 and Power Platform solutions.
Responsibilities
- Act as Design Authority for AI and Data architectures
- Lead pre-sales engagements, workshops, and solution shaping
- Architect scalable, secure, and cost-effective Azure data platforms and AI solutions
- Provide governance and technical oversight to reduce delivery risk
- Own architecture and technical documentation
- Define standards, patterns, and reusable assets
- Mentor delivery teams and support product innovation
Experience
- Proven experience architecting enterprise-scale Azure data and AI solutions
- Strong Azure data ecosystem knowledge (ADF, Synapse, Fabric, Azure SQL, Power BI)
- AI architecture expertise (ML, generative AI, cognitive services)
- Strong understanding of modern data architecture (lakehouse, ELT/ETL, MDM)
- Power Platform and Dynamics 365 integration experience
- Pre-sales and executive stakeholder engagement experience
- Experience establishing architectural governance
Salary & Benefits
- Salary up to £110k
- Home-based working with client site travel
- 5% Bonus
- Strong certification and progression support
Location
- Home-based with client travel as required in London
How to Apply
Please apply ASAP with your CV to be considered for this position. You can also get in touch with me on harry.b@pearsoncarter.com or 0191 406 6111.
Principal AI & Data Architect – Microsoft Stack – £110k + 5% Bonus employer: Pearson Carter
Join a leading Microsoft Partner that values innovation and expertise, offering a dynamic work culture where your contributions as a Principal AI & Data Architect will directly impact enterprise-scale solutions. With a competitive salary of £110k plus a 5% bonus, you will benefit from home-based working flexibility, robust certification support, and ample opportunities for professional growth while collaborating with top-tier clients in London.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI & Data Architect – Microsoft Stack – £110k + 5% Bonus
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Microsoft technologies. A friendly chat can lead to referrals or insider info about job openings.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies of your previous projects related to Azure and AI solutions. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for those tricky interview questions by doing mock interviews with friends or using online platforms. Focus on articulating your thought process around architecture and governance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Principal AI & Data Architect – Microsoft Stack – £110k + 5% Bonus
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your expertise in Azure, AI architecture, and any relevant projects you've led. We want to see how you fit into our vision!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Principal AI & Data Architect role. Share your passion for data solutions and how your experience aligns with our needs.
Showcase Your Leadership Skills:Since this is a senior role, emphasise your leadership experience. Talk about times you've mentored teams or led projects, especially in pre-sales engagements or client-facing situations. We love seeing how you can guide others!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any updates. Let’s get your application rolling!
How to prepare for a job interview at Pearson Carter
✨Know Your Tech Inside Out
Make sure you’re well-versed in the Microsoft Stack, especially Azure, Fabric, and Dynamics 365. Brush up on your knowledge of AI architecture and the data ecosystem, as you’ll need to demonstrate your expertise during the interview.
✨Prepare for Client-Facing Scenarios
Since this role involves pre-sales engagement and client interaction, think of examples from your past experiences where you successfully led workshops or shaped solutions. Be ready to discuss how you can build relationships with stakeholders.
✨Showcase Your Governance Skills
Be prepared to talk about how you’ve provided technical oversight and reduced delivery risks in previous projects. Highlight any standards or patterns you’ve established that have improved project outcomes.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI and data architecture. This shows your genuine interest and helps you assess if the company aligns with your career goals.
