Part-time Senior Google Cloud / AI Solutions Architect (EMEA/LATAM)
Akvelon United Kingdom
Software Development · 1,001-5,000 employees
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About the role
The role involves partnering with Google Sales to identify and shape GCP opportunities while leading discovery, architecture, and proposal development. You will act as the lead architect during the delivery phase and support co-sell motions and funding-program discussions.
What they look for
Requirements
Candidates must have hands-on experience architecting enterprise GCP projects and a background in technical sales or client-facing architecture. Deep expertise in Google AI, data platforms, and enterprise migration scenarios is required, along with strong English communication skills.
Full 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.
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.
Responsibilities:
- 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.
Nice to Have:
- 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.
Working Conditions:
- Work model: Remote B2B;
- Overlap: PST until 12:00 PM minimum, preferably until 2:00 PM;
- Target start date: ASAP.
Locations: EMEA/LATAM (Remote)
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