Part-time Senior Google Cloud / AI Solutions Architect (EMEA/LATAM)

Akvelon
London, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Part-time (≀ 32 hours)
Experience level
Expert
Compensation
Β£55,380.0
Working hours
Shift work
Languages
English

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure BigQuery Cloud Computing Machine Learning Google Cloud Enterprise Software Applications Retrieval-Augmented Generation Large Language Models Agentic-AI AI Platforms
+2 more
Data Management Google Gemini

Job description

We are looking for a Senior Google Cloud / AI Solutions Architect to act as a technical pre-sales lead for an enterprise GCP partnership. The role works with Google Sales and customer teams to shape opportunities, pitch credible solutions, and lead architecture when signed engagements move into delivery., * Partner with Google Sales, field teams, and customers to identify and shape GCP opportunities;

  • Lead discovery, solution architecture, proposals, and prototypes that make the business value clear;
  • Build compelling use cases across Gemini and Vertex AI, BigQuery, Iceberg, GKE, Cloud Run, and cloud migrations;
  • Act as the lead architect when signed opportunities transition into delivery;
  • Support Google co-sell motions and relevant funding-program discussions.

Requirements

  • Hands-on experience architecting and launching enterprise GCP customer projects in production;
  • Technical sales experience at Google Cloud, a major GCP partner or systems integrator, or comparable client-facing architecture experience;
  • Proven end-to-end ownership from lead and discovery through proposal, prototype, and full-scale delivery;
  • Deep GCP expertise across Google AI, Gemini, Vertex AI, data platforms, and enterprise application or migration scenarios;
  • Strong English, presentation, and stakeholder-management skills;
  • Ability to travel to the United States for client meetings on short notice., * Professional Cloud Architect or Professional Machine Learning Engineer certification;
  • Experience with RAG, AI agents, production LLM applications, or knowledge-base transformation;
  • Experience migrating workloads from AWS or Azure to GCP.

Benefits & conditions

  • Work model: Remote B2B;
  • Overlap: PST until 12:00 PM minimum, preferably until 2:00 PM;
  • Target start date: ASAP.

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