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DominoDominoUnited States

Solution Architect

Lead technical execution for strategic F100 AI/ML deployments at Domino Data Lab. Design reference architectures, build integrations across the MLOps ecosystem, and partner on customer PoCs in regulated environments. Requires 5+ years production Kubernetes experience and enterprise customer ownership at CTO level.

200k – 250k/yr
Remote5+ YOESolutions Architecture

About the role

Lead Technical Execution

  • 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.
  • Translate field observations into roadmap input for Product and Engineering.

Requirements

  • 5+ years hands-on with Kubernetes in production — upgrades, migrations, multi-region DR, cluster management at scale.
  • 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.
  • 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.

Skills

KubernetesopenshiftTerraformAWSAzureGCPMLOpsAI/MLDocker
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