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For Companies At a Glance
- Tasks: Design and guide delivery of scalable AI and Data Science platforms.
- Company: Join a leading retail and finance technology company focused on AI innovation.
- Benefits: Enjoy hybrid work options and collaborate with diverse teams.
- Why this job: Be at the forefront of AI solutions, impacting payroll accuracy and P&L processes.
- Qualifications: Experience in Data Science, AI/ML, and cloud platforms is essential.
- Other info: Opportunity to shape technical design across multiple squads.
The predicted salary is between 54000 - 84000 £ per year.
Solution Architect (Data Science & AI)
The information below covers the role requirements, expected candidate experience, and accompanying qualifications.
Location: Welwyn Garden City / Hybrid
Overview
As our client continues to scale its AI and Data Science initiatives, we are looking for a Solution Architect to design and guide the delivery of robust, scalable platforms for use cases such as payroll accuracy and P&L solutions.
This role requires a deep understanding of cloud-based data platforms, AI/ML architectures, and integration within a complex retail and finance technology environment.
Key Responsibilities
* Define end-to-end solution architectures for Data Science and AI products.
* Ensure scalability, security, and performance of new systems.
* Collaborate with Engineering, Product, and Data Science teams to shape technical design.
* Provide governance and technical direction across multiple squads.
* Align solutions with Tesco’s broader data and technology strategy.
Skills & Experience
* Proven experience as a Solution Architect in Data Science, AI/ML, or advanced analytics projects.
* Strong understanding of cloud platforms (AWS/Azure/GCP) and big data ecosystems.
* Strong experience within Data Science and AI (ML, LLM)
* Experience in large-scale data integration, APIs, and real-time analytics.
* Background in finance or retail systems highly desirable.
* Ability to communicate complex architectures clearly to both technical and business audiences
AI Solution Architect employer: mthree
Contact Detail:
mthree Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solution Architect
✨Tip Number 1
Familiarise yourself with the specific cloud platforms mentioned in the job description, such as AWS, Azure, or GCP. Having hands-on experience or certifications in these areas can significantly boost your credibility during discussions.
✨Tip Number 2
Network with professionals in the AI and Data Science fields, especially those who have worked in retail or finance. Engaging in relevant online communities or attending industry events can provide valuable insights and connections that may help you stand out.
✨Tip Number 3
Prepare to discuss real-world examples of how you've designed scalable solutions in previous roles. Being able to articulate your thought process and the impact of your work will demonstrate your expertise and problem-solving skills.
✨Tip Number 4
Stay updated on the latest trends and technologies in AI and Data Science. Showing that you're proactive about learning and adapting to new developments can impress potential employers and show your commitment to the field.
We think you need these skills to ace AI Solution Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and skills required for the AI Solution Architect position. Tailor your application to highlight relevant experiences in Data Science, AI/ML, and cloud platforms.
Craft a Tailored CV: Your CV should reflect your experience as a Solution Architect, particularly in Data Science and AI projects. Emphasise your familiarity with cloud platforms like AWS, Azure, or GCP, and include specific examples of past projects that demonstrate your skills.
Write a Compelling Cover Letter: In your cover letter, explain why you are a great fit for this role. Discuss your understanding of the retail and finance technology environment and how your background aligns with Tesco’s data and technology strategy.
Highlight Communication Skills: Since the role requires clear communication of complex architectures, ensure your application showcases your ability to convey technical concepts to both technical and non-technical audiences. Provide examples of how you've done this in previous roles.
How to prepare for a job interview at mthree
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with cloud platforms like AWS, Azure, or GCP. Highlight specific projects where you've designed scalable AI/ML architectures and how they contributed to business outcomes.
✨Understand the Business Context
Familiarise yourself with the retail and finance sectors, especially how data science can enhance operations. Be ready to explain how your solutions can align with the company's broader data strategy.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You may need to convey your ideas to both technical teams and business stakeholders, so clarity is key.
✨Prepare for Collaboration Questions
Expect questions about teamwork and collaboration. Think of examples where you've worked with cross-functional teams, particularly in shaping technical designs or providing governance across projects.
