AWS AI Solutions Architect in London

AWS AI Solutions Architect in London

London Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Ubique Systems

At a Glance

  • 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 and collaboration.
  • 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 London employer: Ubique Systems

Join a forward-thinking company that values innovation and collaboration, offering an exciting opportunity as an AWS AI Solutions Architect based in the UK. With a strong emphasis on employee growth, we provide comprehensive training and development programmes, alongside a vibrant work culture that encourages creativity and teamwork. Our commitment to work-life balance and the chance to travel across Europe for client engagements make this role not just a job, but a meaningful career path in the rapidly evolving field of AI solutions.
Ubique Systems

Contact Detail:

Ubique Systems Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AWS AI Solutions Architect in London

✨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 practising common questions related to AWS and AI solutions. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.

✨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 are proactive and eager to join our team.

We think you need these skills to ace AWS AI Solutions Architect in London

Full Stack Architecture
Java SpringBoot
React
GenAI expertise
AWS Bedrock
Strands SDK
Agentcore
Cloud Architecture
AI Architecture
Proof of Concept (PoC) development
Technical Workshops
AWS expertise (serverless, containers, security, networking, IaC)
Bedrock
SageMaker
Textract
Comprehend
RAG patterns
Java development
Python development
Pre-sales experience
Stakeholder communication

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 stakeholder communication skills.

Showcase Your Technical Skills: In your application, be sure to detail 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 on the specifics!

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 candidates who take the initiative!

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 too, as they’ll likely come up during technical discussions.

✨Prepare Real-World Examples

Think of specific projects where you've designed scalable architectures or led customer-facing discussions. Be ready to share these experiences, highlighting your problem-solving skills and how you collaborated with teams to achieve success.

✨Understand the Business Context

Since this role involves pre-sales and consulting, it’s crucial to understand the business implications of your solutions. Research the industries mentioned, like Manufacturing and Automotive, and be prepared to discuss how your solutions can drive value for clients.

✨Practice Your Communication Skills

Strong stakeholder communication is key for this role. Practice explaining complex technical concepts in simple terms, as you’ll need to engage with both technical and non-technical audiences. Mock interviews can help you refine this skill.

AWS AI Solutions Architect in London
Ubique Systems
Location: London

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