Senior Cloud Architect, ML/AI

DoiT
📍 Remote in the US, Colombia, Mexico, Canada, the UK, Ireland, Estonia, Sweden, the Netherlands, and Israel. Also open to contractors in Eastern Europe or Portugal.
22d
  • Insightful understanding of customer needs enhances forward deployed solutions.
  • Organized planning supports well-architected cloud implementations.
  • Principled approach ensures ethical ML/AI deployments globally.
  • Empathy builds trust in remote team collaborations.
  • Idealistic focus might overlook pragmatic technical trade-offs in multicloud setups.
  • Introverted nature could strain extensive pre-sales interactions.
  • Limited hands-on tech drive may slow adaptation to Kubernetes complexities.

Location
Our Senior Cloud Architect, ML/AI will be an integral part of our global Forward Deployment Engineering team. This role is based remotely in the US, Colombia, Mexico, Canada, the UK, Ireland, Estonia, Sweden, the Netherlands, and Israel. The job is also open to contractors in Eastern Europe or Portugal.   

About DoiT
DoiT is a global technology company that works with cloud-driven organizations to leverage public cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state—from planning to production.

Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.

The Opportunity
As a Senior Cloud Architect, ML/AI, you will be part of our global Forward Deployed Engineering organization, working with rapidly growing companies in EMEA and around the world. Depending on business needs, this role may be aligned to either Field Engineering (pre-sales + GTM) or FDE Delivery (install base, product adoption, customer health), with a common technical bar and shared
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