Senior Data & AI Solutions Architect (Energy & Resources)
Senior Data & AI Solutions Architect (Energy & Resources)

Senior Data & AI Solutions Architect (Energy & Resources)

Bachelor 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Guide clients in cloud and AI adoption while building innovative Data & AI Solutions.
  • Company: Leading technology company focused on Energy & Natural Resources.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Why this job: Make a real impact by driving customer success in a diverse and innovative environment.
  • Qualifications: Bachelor's degree and IT development experience with strong communication skills.
  • Other info: Join a dynamic team and shape the future of energy solutions.

The predicted salary is between 43200 - 72000 £ per year.

A leading technology company seeks a Solutions Architect to work with Enterprise Energy & Natural Resources customers in the UK. This role involves guiding clients towards cloud and AI adoption, building Data & AI Solutions, and creating best practices.

Ideal candidates will have a Bachelor's degree and experience in IT development, with strong communication skills to engage with technical and non-technical stakeholders. This position offers a chance to innovate and drive customer success in a diverse environment.

Senior Data & AI Solutions Architect (Energy & Resources) employer: Amazon

As a leading technology company, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to work-life balance, all while contributing to impactful projects in the Energy & Resources sector across the UK. Join us to be part of a forward-thinking team that values your expertise and empowers you to drive meaningful change.
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Contact Detail:

Amazon Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data & AI Solutions Architect (Energy & Resources)

✨Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at events. We can’t stress enough how personal connections can open doors that applications alone can’t.

✨Tip Number 2

Show off your skills! Create a portfolio or a project that highlights your expertise in Data & AI solutions. This is your chance to demonstrate what you can bring to the table beyond just a CV.

✨Tip Number 3

Prepare for those interviews! Research the company and its clients in the Energy & Resources sector. We want you to be ready to discuss how you can help them adopt cloud and AI technologies.

✨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 Senior Data & AI Solutions Architect (Energy & Resources)

Cloud Adoption
AI Solutions Development
Data Solutions Architecture
Best Practices Creation
IT Development Experience
Communication Skills
Stakeholder Engagement
Innovation
Customer Success Focus
Diversity Awareness

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data & AI Solutions Architect. Highlight your experience in IT development and any relevant projects that showcase your skills in cloud and AI adoption.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this position. Share specific examples of how you've guided clients in the Energy & Resources sector and your approach to building Data & AI solutions.

Showcase Your Communication Skills: Since you'll be engaging with both technical and non-technical stakeholders, make sure to demonstrate your communication prowess. Use clear and concise language in your application to reflect this skill.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at Amazon

✨Know Your Tech Inside Out

Make sure you’re well-versed in cloud technologies and AI solutions relevant to the energy and resources sector. Brush up on your knowledge of best practices in data architecture, as you’ll need to demonstrate your expertise during the interview.

✨Tailor Your Communication Style

Since you'll be engaging with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will show that you can bridge the gap between different audiences, which is crucial for a Solutions Architect.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've successfully guided clients through cloud and AI adoption in the past. Highlight specific challenges you faced and how you overcame them, as this will illustrate your ability to drive customer success.

✨Research the Company and Its Clients

Familiarise yourself with the company’s mission and the types of clients they serve in the energy and natural resources sectors. This knowledge will help you align your answers with their goals and demonstrate your genuine interest in the role.

Senior Data & AI Solutions Architect (Energy & Resources)
Amazon

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