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- Tasks: Design and deliver innovative AI/ML solutions on Google Cloud using Vertex AI.
- Company: Join a forward-thinking tech company leading in AI and cloud solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Be at the forefront of AI technology and make a real difference in the industry.
- Qualifications: Experience with GCP, AI/ML workflows, and strong communication skills required.
The predicted salary is between 80000 - 100000 £ per year.
We are looking for a GCP Architect with hands-on experience designing and delivering Vertex AI–based solutions. The role focuses on practical architecture, solution design, and guiding engineering teams to build ML, GenAI, and data-driven applications on Google Cloud. You should be strong in GCP fundamentals, comfortable working with AI/ML workflows, and confident in translating business needs into technical architectures that can be delivered reliably.
- Design AI/ML and GenAI solution architectures on GCP using Vertex AI, BigQuery, Cloud Run, Cloud Functions, and GCS.
- Set up and configure Vertex AI components (Workbench, Pipelines, Model Registry, Feature Store, Vector Search, Model Deployment).
- Work with teams to design ML workflows, including data ingestion, preprocessing, model development, deployment, and monitoring.
- Support the build of prompt-based, RAG, and LLM-driven applications using Gemini and Vertex AI Generative AI features.
- Collaborate with data engineering teams to integrate models with BigQuery and other GCP data services.
- Build MLOps pipelines using Cloud Build, Cloud Deploy, GitHub Actions, and Terraform.
- Prepare architecture diagrams, solution documents, and design specifications.
- Participate in client workshops to understand use cases and recommend solution approaches.
- Review solution designs from engineering teams and ensure alignment with architecture standards.
- Support cost estimation, performance optimisation, and deployment planning.
- Ensure adherence to security, IAM, network, and governance guidelines on GCP.
- Provide technical guidance and mentorship to development and data teams.
- Support pre-sales activities when needed (solutioning, estimation, scoping).
Requirements:
- Strong understanding of Google Cloud Platform architecture: IAM, VPC, networking, compute, logging, monitoring.
- Hands-on experience with Vertex AI, including model training, deployment, tuning, and pipelines.
- Experience implementing GenAI/LLM-based solutions (Gemini, RAG, embeddings, vector stores).
- Knowledge of core machine learning concepts and ability to work with data scientists/ML engineers.
- Proficiency with Python, ML frameworks (TensorFlow/PyTorch), and REST APIs.
- Practical experience with Terraform, CI/CD, and automation on GCP.
- Good understanding of BigQuery, Dataflow/Beam basics, and data modelling.
- Ability to produce clean and clear architecture diagrams and documentation.
- Strong communication skills and ability to work with clients and internal teams.
Experience in telecom domain is preferred. Experience building ML evaluation, monitoring, and drift detection frameworks. GCP certifications (Professional Cloud Architect / ML Engineer / Data Engineer) are a plus.
GCP Architect - Vertex AI + ML/AI Architect in London employer: ITTRP Pvt Ltd
Contact Detail:
ITTRP Pvt Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP Architect - Vertex AI + ML/AI Architect in London
✨Tip Number 1
Network like a pro! Attend industry meetups, webinars, and conferences related to GCP and AI/ML. It's a great way to meet potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Vertex AI and other GCP tools. This can really set you apart during interviews and give you something tangible to discuss.
✨Tip Number 3
Practice makes perfect! Prepare for technical interviews by brushing up on your GCP fundamentals and ML workflows. Mock interviews with friends or using online platforms can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight your experience with GCP and AI/ML solutions.
We think you need these skills to ace GCP Architect - Vertex AI + ML/AI Architect in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with GCP, Vertex AI, and ML workflows. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills: When detailing your experience, focus on specific tools and technologies you've used, like BigQuery, Terraform, or Python. We love seeing hands-on experience, so include any practical examples of how you've designed or implemented solutions.
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points for easy reading and make sure to clearly outline your achievements and responsibilities in previous roles. We appreciate clarity!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at ITTRP Pvt Ltd
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform fundamentals. Be ready to discuss IAM, VPC, and networking in detail. Familiarise yourself with Vertex AI components and how they fit into the bigger picture of ML workflows.
✨Showcase Your Hands-On Experience
Prepare to share specific examples of projects where you've designed and delivered Vertex AI solutions. Highlight your experience with model training, deployment, and tuning, as well as any MLOps pipelines you've built using tools like Terraform and Cloud Build.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role. Practice explaining complex technical concepts in simple terms, especially when discussing architecture diagrams and solution documents. This will help demonstrate your ability to work with both technical teams and clients.
✨Be Ready for Scenario-Based Questions
Expect to tackle scenario-based questions that assess your problem-solving skills. Think about how you would approach designing a solution for a specific business need, and be prepared to discuss your thought process and decision-making criteria.