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- Tasks: Lead innovative AI solutions and design scalable architectures for top clients.
- Company: Dynamic tech company focused on cloud and AI solutions across Europe.
- Benefits: Competitive salary, travel opportunities, and professional growth in a cutting-edge field.
- Other info: Exciting projects across Europe with opportunities for career advancement.
- Why this job: Join a team shaping the future of AI with real-world impact.
- Qualifications: 8+ years in Cloud/Solution Architecture with strong AWS and programming skills.
The predicted salary is between 80000 - 100000 £ per year.
We are looking for an experienced AWS AI Solutions Architect.
Base Location: UK
Travel Across Europe: Germany, Denmark, Netherlands, France, Spain & Switzerland
Mandatory Skills:
- Full Stack Architecture experience
- Java SpringBoot + React on AWS
- Strong GenAI expertise on AWS Bedrock, Strands SDK & Agentcore
Key Responsibilities:
- Lead customer-facing solution discussions across Cloud, AI & Modernization
- Design scalable AWS AI/GenAI architectures
- Build PoCs, demos, copilots & agentic AI solutions
- Own RFPs, proposals & technical workshops
- Collaborate with AWS alliance & partner teams
Required Experience:
- 8+ years in Cloud/Solution Architecture
- Strong AWS expertise (serverless, containers, security, networking, IaC)
- Hands-on with Bedrock, SageMaker, Textract, Comprehend & RAG patterns
- Java/Python development experience with React/frontend exposure
- Pre-sales / consulting experience with strong stakeholder communication
Nice to Have:
- AWS Solutions Architect Professional Certification
- Experience in Manufacturing, Automotive, BFSI or Utilities
- Multi-cloud exposure (Azure/GCP)
AWS AI Solutions Architect in Plymouth employer: Ubique Systems
Contact Detail:
Ubique Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS AI Solutions Architect in Plymouth
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with AWS or AI. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AWS and AI solutions. Demos, PoCs, and any hands-on work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common questions and scenarios you might face as an AWS AI Solutions Architect, especially around pre-sales discussions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you a leg up in the process.
We think you need these skills to ace AWS AI Solutions Architect in Plymouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS and AI solutions. We want to see how your skills match the job description, so don’t be shy about showcasing your full stack architecture experience and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your background in pre-sales and consulting makes you a perfect fit for us. Keep it engaging and personal!
Showcase Your Technical Skills: When filling out your application, make sure to highlight your hands-on experience with AWS services like Bedrock and SageMaker. We love seeing specific examples of how you've used these tools in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Ubique Systems
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS services, especially Bedrock, SageMaker, and the tools mentioned in the job description. Brush up on your Java SpringBoot and React skills too, as they’ll likely come up during technical discussions.
✨Prepare for Customer-Facing Scenarios
Since this role involves leading solution discussions, practice articulating your ideas clearly and confidently. Think of examples from your past experiences where you successfully engaged with clients or stakeholders to solve complex problems.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you would design scalable architectures for AI solutions. Prepare a few case studies or scenarios where you’ve built PoCs or demos, highlighting your thought process and the impact of your solutions.
✨Understand the Business Context
Familiarise yourself with the industries mentioned in the job description, like Manufacturing and Automotive. This will help you tailor your responses to show how your technical expertise can drive business value in those sectors.