At a Glance
- Tasks: Lead AI innovation and design scalable data solutions on Google Cloud Platform.
- Company: Join a prominent financial institution's IDEA Lab, driving AI and data solutions.
- Benefits: Hybrid work model, collaborative environment, and opportunity to influence AI transformation.
- Other info: Dynamic team with a focus on innovation and career growth opportunities.
- Why this job: Be at the forefront of AI advancements and shape future data-driven decision-making.
- Qualifications: Experience with GCP, AI tools, and strong communication skills required.
The predicted salary is between 60000 - 80000 £ per year.
If you think you are the right match for the following opportunity, apply after reading the complete description.
Location: Edinburgh
Contract Type: Temp to Perm (12-month initial contract)
Are you ready to lead the charge in AI innovation within the financial sector? Our client is searching for a dynamic Data/AI Solution Architect to join the IDEA Lab - an exciting hub for pioneering AI and data solutions! This role offers an incredible opportunity to shape the future of data-driven decision-making in a prominent financial institution.
About the Team: They are the engine room for AI innovation, driving rapid prototypes, reusable patterns, and scalable data solutions across the Business Transaction Banking (BTB) platform. As part of this vibrant team, you'll provide deep technical expertise and help shape forward-looking AI and data strategies.
Role Purpose: As a Data/AI Solution Architect, you will be at the forefront of designing scalable, secure, and resilient data and AI systems. Your expertise will be instrumental in driving strategic initiatives including Machine Learning, LLMOps, and GCP cloud migration. You will bridge the gap between business needs and technical execution, ensuring compliance with data governance, security, and ethical AI standards.
Key Responsibilities:
- Strategy & Design: Define end-to-end architectures for AI, ML, and data solutions on Google Cloud Platform (GCP) while ensuring alignment to platform strategy and security controls.
- Technical Leadership: Deliver high-quality solutions using GCP cloud-native services such as BigQuery, Cloud Run, and Vertex AI.
- Cloud Integration: Utilize your understanding of Kubernetes, service mesh, and network boundaries to architect efficient GCP workloads.
- Design Patterns: Implement API and service integration patterns using Istio, Apigee, and modern microservice standards.
- Governance & Compliance: Ensure that all solutions adhere to strict regulatory and security standards.
- Collaboration: Work closely with engineering, data science, and business teams to translate requirements into actionable designs.
Required Skills & Experience:
- Cloud Expertise: Proven experience with major cloud platforms like GCP.
- Data & AI Knowledge: Strong understanding of modern data architecture, Machine Learning, and AI tools. Experience with large-scale data migrations is a plus!
- Architecture Leadership: Ability to design orchestrations for AI and ML systems, articulating trade-offs and leading design decisions.
- Communication Skills: Exceptional ability to convey complex technical concepts and represent the lab's technical direction in governance forums.
Beneficial Skills:
- Experience with Vertex AI or other model lifecycle tooling.
- Familiarity with LangChain/LangGraph and AI workflow orchestration.
- Experience in multi-cloud environments and understanding of enterprise integration.
Working Pattern: Enjoy a hybrid work style - spend at least two days a week (40% of your time) in our Edinburgh office, collaborating with a talented team.
Why Join the IDEA Lab? This is your chance to be at the center of innovation! Influence platform-wide patterns, accelerate AI transformation, and work with highly skilled teams delivering cutting-edge solutions. If you're ready to make a significant impact and lead the way in AI advancements, we'd love to hear from you!
We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Data Solution Architect (GCP) employer: Pontoon
Join a forward-thinking financial institution in Edinburgh as a Data Solution Architect (GCP) and be part of the IDEA Lab, where innovation meets collaboration. With a vibrant work culture that fosters creativity and technical excellence, you'll have the opportunity to lead AI initiatives while enjoying a hybrid work model that promotes work-life balance. The company is committed to employee growth, offering access to cutting-edge tools and a diverse team that values inclusivity and personal development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Solution Architect (GCP)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills in action! If you’ve got a portfolio or any projects that highlight your expertise in GCP, AI, or data solutions, make sure to share them during interviews. It’s all about proving you can walk the walk!
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of cloud architecture and data governance. Being able to discuss these topics confidently will show you’re the right fit for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Solution Architect (GCP)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Solution Architect role. Highlight your experience with GCP, AI, and data architecture. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI innovation in the financial sector and how you can contribute to our team. Keep it engaging and relevant!
Showcase Your Technical Skills:Don’t forget to mention your technical expertise! Whether it's your experience with BigQuery or Kubernetes, we want to know how you can bring value to our projects. Be specific and confident!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Pontoon
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Familiarise yourself with services like BigQuery, Cloud Run, and Vertex AI. Be ready to discuss how you've used these tools in past projects and how they can be applied to the role.
✨Showcase Your Data Architecture Skills
Prepare to talk about your experience with modern data architecture and machine learning. Think of specific examples where you've designed scalable solutions or led data migrations. This will demonstrate your technical leadership and problem-solving abilities.
✨Communicate Complex Ideas Simply
Practice explaining complex technical concepts in a straightforward manner. The interviewers will want to see if you can bridge the gap between technical execution and business needs. Use analogies or simple terms to convey your ideas effectively.
✨Emphasise Collaboration and Compliance
Be ready to discuss how you've worked with cross-functional teams in the past. Highlight your understanding of governance and compliance in data solutions, as this is crucial for the role. Show that you can work well with engineering, data science, and business teams.
