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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 Woking 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 Woking
✨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 and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AWS, AI, and full-stack architecture. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AWS and AI solutions. Practice explaining your past experiences and how they relate to the role. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AWS AI Solutions Architect in Woking
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 the perfect fit for the AWS AI Solutions Architect role. We love seeing enthusiasm for AI and cloud technologies, so let your passion come through!
Showcase Your Projects: If you've built any PoCs or demos, make sure to mention them in your application. We’re keen on seeing your hands-on experience with AWS Bedrock and other tools, so include links or descriptions of your work where possible.
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’re considered for the role. Plus, it makes the process smoother for everyone involved!
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 Java SpringBoot and React skills, as you'll likely be asked to discuss how you’ve used these in past 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 ready to discuss how you've designed scalable architectures in previous roles. Prepare a few case studies or examples where you built PoCs or demos, highlighting your hands-on experience with AI solutions and how they benefited the client.
✨Engage with Questions
Interviews are a two-way street! Prepare insightful questions about the company’s current projects or their approach to AI and cloud solutions. This not only shows your interest but also helps you gauge if the company is the right fit for you.