At a Glance
- Tasks: Lead innovative AI solutions and design scalable architectures for top clients.
- Company: Join a leading tech firm with a focus on cloud and AI solutions.
- Benefits: Competitive salary, travel opportunities across Europe, and professional growth.
- Other info: Dynamic role with opportunities to work on cutting-edge technologies.
- Why this job: Shape the future of AI while collaborating with industry leaders.
- Qualifications: 8+ years in Cloud Architecture and strong AWS skills required.
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 Swindon 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 Swindon
✨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 to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AWS AI Solutions Architect in Swindon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AWS AI Solutions Architect role. Highlight your full stack architecture experience and any relevant projects you've worked on, especially those involving Java SpringBoot and React on AWS.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI solutions and how your background aligns with our needs. Don’t forget to mention your experience in pre-sales and consulting, as well as your strong communication skills.
Showcase Your Technical Skills: In your application, be sure to highlight your hands-on experience with AWS services like Bedrock, SageMaker, and Textract. We want to see how you’ve applied these technologies in real-world scenarios, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
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 where you've successfully communicated complex tech concepts to non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you’ve designed scalable architectures in the past. Prepare a couple of case studies or examples that highlight your experience with PoCs and demos, particularly in AI and cloud solutions.
✨Understand the Market and Competitors
Research the current trends in AI and cloud solutions, especially within the industries mentioned like Manufacturing and Automotive. Being able to discuss these insights will show your potential employer that you’re not just technically skilled but also market-savvy.