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- 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 Sheffield 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 Sheffield
✨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 opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AWS and AI solutions. Demos and PoCs can really impress potential employers and give them a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace AWS AI Solutions Architect in Sheffield
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: We want to see your technical prowess! Include specific examples of your work with AWS services like Bedrock, SageMaker, and Textract. If you’ve built any PoCs or demos, make sure to mention them – we love seeing practical applications of your skills!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Ubique Systems
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS services like Bedrock and SageMaker. Brush up on your full stack architecture skills and be ready to discuss how you've used Java SpringBoot and React in previous projects.
✨Prepare for Customer-Facing Scenarios
Since this role involves leading customer discussions, think of examples where you've successfully communicated complex solutions to clients. Practice articulating your thought process clearly and confidently, as this will showcase your pre-sales experience.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you approach designing scalable architectures and building PoCs. Think of specific challenges you've faced in past roles and how you overcame them, particularly in AI and cloud environments.
✨Engage with Questions
Interviews are a two-way street! Prepare insightful questions about the company’s current projects or their approach to AI solutions. This not only shows your interest but also helps you gauge if the company is the right fit for you.