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Domino Data Lab

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Solution Architect

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Summary

Solution Architects on Domino's Professional Services team design and deploy the enterprise AI/ML platform into complex customer IT landscapes (hybrid cloud, on-prem, air-gapped, regulated), lead F100 deployments, build reference architectures and field integrations, run PoCs with SEs, and feed field insights into the product roadmap.

  • Our Professional Services team designs and delivers the architectures and integrations that embed Domino into our customers’ IT landscapes. As Solution Architects, we embed Domino into the most complex enterprise IT landscapes on the planet — hybrid cloud, on-prem, air-gapped, regulated — and turn what we see in the field into a sharper product
  • Lead technical execution on Domino’s most strategic F100 deployments — multi-cloud, on-prem, and hybrid — powering enterprise AI/ML at scale
  • Design end-to-end reference architectures that hold up in regulated environments across data, identity, security, and infrastructure
  • Build and document field integrations across the AI/ML ecosystem (data platforms, model registries, MLOps tooling), then enable the rest of Solutions on them
  • Partner with account and SE teams on scoping, custom demos, and PoCs that map to real customer AI use cases — not generic ones
  • Translate what you see in the field into roadmap input Product and Engineering actually act on

Benefits

  • Health & wellness: Premium medical, dental, and vision insurance plans, including a free option for you and your family
  • Commuter benefits: What’s your transportation of choice? We support your daily commute, whether Uber, Lyft, bus, or train
  • Love for parents: New parents receive up to eight weeks of fully paid-parental leave. P.S. Got baby pics? Share them in our Slack channel dedicated to kids
  • Flexible paid time off: We value your right to disconnect. Take the time you need to recharge, spend time with family, and explore the world
  • Annual education reimbursement: Pursue the professional growth that will help you excel in your role with educational opportunities that work for your needs, and at your speed
  • Own your outcome: Feel supported to get your work done how and when you need to, regardless of your location
  • 5+ years hands-on with Kubernetes in production — upgrades, migrations, multi-region DR, cluster management at scale
  • Hands-on with at least one major cloud (AWS, Azure, or GCP) — Azure a strong plus — and comfort translating security and compliance requirements into architectures that pass audit
  • Hands-on AI/ML or data platform experience (Domino or comparable MLOps tooling), especially in regulated environments — a strong plus
  • End-to-end enterprise K8s implementations in the wild, cloud or on-prem (OpenShift a strong signal). PoCs and Terraform-only don’t count
  • Direct experience owning strategic customer relationships at CTO / platform-lead level, not one step below

Skills

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See also

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