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Part-time Senior Google Cloud, AI Solutions Architect

🔥 0 minutes ago

🇪🇺 Europe – Remote

⏱ Part Time

đźź  Senior

đź’» Solutions Engineer

đź‘» Ghost score 10%

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Logo of Akvelon, Inc.

Akvelon, Inc.

1001 - 5000 employees

Founded 2000

đź’Ľ Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

Akvelon, Inc. is a technology consulting firm specializing in software engineering solutions across a wide array of industries. With over 24 years of experience and a team of over 1,200 experts, Akvelon empowers businesses by providing services in cloud computing, data analytics, AI and machine learning, DevOps, and quality engineering. They work with diverse sectors including healthcare, fintech, manufacturing, and eCommerce, delivering innovative solutions that enhance operational efficiency and drive strategic advantage.

đź“‹ Description

• Act as a technical pre-sales lead for an enterprise GCP partnership • Partner with Google Sales, field teams, and customers to identify and shape GCP opportunities • Lead discovery, solution architecture, proposals, and prototypes that communicate business value • Build use cases across Gemini, Vertex AI, BigQuery, Iceberg, GKE, Cloud Run, and cloud migrations • Act as 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 (nice to have) • Experience with RAG, AI agents, production LLM applications, or knowledge-base transformation (nice to have) • Experience migrating workloads from AWS or Azure to GCP (nice to have)

🏖️ Benefits

• Part-time side job, 18 hours/week • Remote B2B work model • Ability to travel to the United States for client meetings on short notice

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