Senior Solution Architect — Retail AI & Data Platforms
Senior Solution Architect — Retail AI & Data Platforms

Senior Solution Architect — Retail AI & Data Platforms

Full-Time 54000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design data-driven solutions and deploy AI to enhance retail supply chains.
  • Company: Leading UK tech company known for innovation and employee empowerment.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Why this job: Join a dynamic team and make a real impact in the retail sector with cutting-edge technology.
  • Qualifications: Extensive experience in data architecture and machine learning frameworks.
  • Other info: Engage with both technical teams and executives in a collaborative environment.

The predicted salary is between 54000 - 84000 £ per year.

A leading technology company in the UK seeks a Solution Architect to join their EMEA Retail Team. This role involves designing data-driven solutions and deploying AI to enhance supply chain operations for top retail organizations.

The ideal candidate will have:

  • Extensive experience in data architecture
  • Expertise in machine learning frameworks
  • Strong communication skills to engage with both technical teams and executives

Join a company known for its innovation and commitment to employee empowerment.

Senior Solution Architect — Retail AI & Data Platforms employer: Nvidia

Join a leading technology company in the UK that champions innovation and employee empowerment, offering a dynamic work culture where creativity thrives. As a Senior Solution Architect, you will have access to exceptional growth opportunities, working alongside top talent in the EMEA Retail Team to design cutting-edge AI and data solutions. Enjoy a collaborative environment that values your contributions and supports your professional development in the rapidly evolving retail sector.
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Contact Detail:

Nvidia Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Solution Architect — Retail AI & Data Platforms

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those working in retail AI and data platforms. A friendly chat can open doors that a CV just can't.

Tip Number 2

Showcase your skills! Create a portfolio or case studies that highlight your experience with data architecture and machine learning frameworks. This will give you an edge when discussing your expertise.

Tip Number 3

Prepare for interviews by brushing up on your communication skills. Practice explaining complex technical concepts in simple terms, as you'll need to engage with both tech teams and executives.

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 are proactive about their job search.

We think you need these skills to ace Senior Solution Architect — Retail AI & Data Platforms

Data Architecture
Machine Learning Frameworks
AI Deployment
Supply Chain Operations
Communication Skills
Technical Team Engagement
Executive Engagement
Solution Design
Innovation
Employee Empowerment

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Solution Architect role. Highlight your experience in data architecture and machine learning frameworks, as these are key for us. Use specific examples that showcase your skills in designing data-driven solutions.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about retail AI and how your background aligns with our mission. Be sure to mention any relevant projects or achievements that demonstrate your expertise.

Showcase Your Communication Skills: Since this role involves engaging with both technical teams and executives, it's crucial to highlight your communication skills. Use clear and concise language in your application to show us you can bridge the gap between tech and business.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. This way, we can easily track your application and ensure it gets the attention it deserves. Plus, it shows us you're keen on joining our innovative team!

How to prepare for a job interview at Nvidia

Know Your Data Inside Out

Make sure you brush up on your data architecture knowledge. Be prepared to discuss specific projects where you've designed data-driven solutions, especially in retail contexts. Highlight your experience with machine learning frameworks and how they can enhance supply chain operations.

Showcase Your Communication Skills

Since this role involves engaging with both technical teams and executives, practice explaining complex concepts in simple terms. Prepare examples of how you've successfully communicated technical information to non-technical stakeholders in the past.

Demonstrate Your Problem-Solving Abilities

Think of scenarios where you've tackled challenges in previous roles. Be ready to discuss how you approached these problems, the solutions you implemented, and the impact they had on the business. This will show your potential employer that you're proactive and innovative.

Research the Company Culture

Familiarise yourself with the company's values and commitment to employee empowerment. During the interview, express how your personal values align with theirs. This will help you stand out as a candidate who not only has the skills but also fits well within their culture.

Senior Solution Architect — Retail AI & Data Platforms
Nvidia
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  • Senior Solution Architect — Retail AI & Data Platforms

    Full-Time
    54000 - 84000 £ / year (est.)
  • N

    Nvidia

    1001-5000
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