At a Glance
- Tasks: Design scalable AI and data systems on Google Cloud Platform while driving innovative projects.
- Company: Join a leading tech lab focused on AI innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and influence cutting-edge technology strategies.
- Why this job: Shape the future of AI and data solutions in a dynamic environment.
- Qualifications: Experience with cloud platforms and a strong understanding of AI and data architecture.
The predicted salary is between 70000 - 90000 £ per year.
The IDEA Lab is the engine room for AI innovation across BTB platform driving rapid prototypes, reusable patterns, agentic workflows, data and AI solutions at scale. The team accelerates delivery across labs, provides deep technical expertise, and shapes forward looking AI and data strategies for the platform.
As a Data/AI Solutions Architect, you will be responsible for designing scalable, highly secure, and resilient data and AI systems, while driving strategic initiatives including Machine Learning, LLMOps, RAG, and GCP cloud migration. This role bridges business needs with technical execution, involving stakeholder management, cloud-native architecture development, and ensuring compliance with data governance, security, and ethical AI standards.
Key Responsibilities- Strategy & Design: Define end to end architectures for AI, ML, data, and agentic AI solutions running on Google Cloud Platform. Develop and maintain iterative designs aligned to modern engineering practice. Ensure alignment to platform strategy, technology standards, and security controls.
- Technical Leadership: Deliver high-quality, secure solutions using GCP cloud-native services, and event-driven patterns. Architect GCP workloads using services such as BigQuery, Cloud Run, GKE, Cloud Storage, Dataflow, Pub/Sub, Vertex AI, Looker, and Cloud Composer.
- Cloud, Platform & Integration: Apply strong understanding of Kubernetes, service mesh, ingress, workload identity, and network/security boundaries.
- Design Patterns: Design and implement API and service integration patterns using Istio, Apigee, and modern microservice standards. Integrate enterprise AuthN/AuthZ patterns (OIDC, IAM roles, workload identities, Apigee security policies).
- Governance & Compliance: Ensure solutions meet strict regulatory, risk management, and security standards.
- Collaboration: Work with engineering, data science, and business teams to translate requirements into actionable, high-level designs.
- Cloud Expertise: Proven experience with major Cloud platforms like GCP/Azure.
- Data & AI Knowledge: Deep understanding of modern data architecture, Machine Learning, and AI tools. Experience in large scale data migrations with ETL toolsets, DataStage decommissioning paths, or modern data movement patterns is beneficial.
- Architecture & Stakeholder Leadership: Design orchestrations and technical patterns for agentic AI, LLM based systems, RAG, and workflow orchestration. Ability to articulate trade-offs, lead design decisions, and shape technical direction.
- Communication: Strong ability to communicate complex technical concepts in the design forums and participate in architectural governance (ARC, AWG) and represent the lab’s technical direction.
- Experience with Vertex AI or other model lifecycle tooling.
- Knowledge of LangChain/LangGraph, RAG patterns, and AI workflow orchestration.
- Experience in multi cloud (GCP/Azure/AWS) or hybrid environments.
- Understanding of enterprise integration and event architecture.
Data/AI Solution Architect employer: KBC Technologies Group
At the IDEA Lab, we pride ourselves on being a leading employer in the AI innovation space, offering our Data/AI Solution Architects an exciting opportunity to work at the forefront of technology on the BTB platform. Our collaborative work culture fosters creativity and growth, providing ample opportunities for professional development while ensuring a strong focus on ethical AI practices and compliance. Located in a vibrant tech hub, we offer competitive benefits and a dynamic environment that encourages innovative thinking and impactful contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data/AI Solution Architect
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like KBC Technologies Group.
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We think you need these skills to ace Data/AI Solution Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at KBC Technologies Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at KBC Technologies Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at KBC Technologies Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at KBC Technologies Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
