Role: GCP Architect
Location & Travel: London
Employment Type : 1 Year Fixed term
Candidate Should be able to start as soon as possible
About Company:
Prodapt is the largest & fastest growing specialized firm serving in Connectedness vertical.
Present across 5 continents, delivering futuristic solutions & AI-driven services to global CSPs, and digital platform & software firms. Prodapt’s customers range from telecom operators, digital/multi-service providers (D/MSPs), technology and digital platform companies in the business of connectedness. Prodapt builds, integrates, and operates solutions enabling next-generation technologies and innovations.
Role Overview
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.
Responsibilities
* 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).
Required Skills
* 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.
Good-to-Have Skills
* Experience in telecom, Domain
* Experience building ML evaluation, monitoring, and drift detection frameworks.
* GCP certifications (Professional Cloud Architect / ML Engineer / Data Engineer).