Remote Solution Architect — Enterprise AI & Kubernetes

Domino; Oregon; Hybrid; USD 200,000 - 250,000; Full time

Benefits offered by this job

Equity

Company bonus

401(k) plan

Medical, dental, and vision benefits

Wellness stipends

Job summary

Domino, a platform for regulated AI, is hiring a Solutions Architect to lead technical execution for Fortune 100 deployments across multi-cloud, on-prem and hybrid. You will design end-to-end reference architectures focused on data, identity, security and infrastructure in regulated environments.

You will build field integrations across AI/ML ecosystems, partner with account and SE teams on scoping and PoCs, and feed roadmaps into Product and Engineering to shape Domino's enterprise platform.

Qualifications

• 5+ years hands-on with Kubernetes in production at scale.
• End-to-end enterprise Kubernetes in cloud or on-premise environments.
• Experience owning strategic customer relationships at CTO/platform-lead level.
• Hands-on with at least one major cloud (AWS/Azure/GCP).
• Hands-on AI/ML or data platform experience in regulated settings.

Responsibilities

• Lead technical execution on Domino's most strategic deployments across multi-cloud, on-prem and hybrid.
• Design end-to-end reference architectures for data, identity, security and infrastructure.
• Build and document field integrations across AI/ML ecosystems and enable Solutions teams.
• Partner with account and SE teams on scoping, demos and PoCs aligned to customer use cases.
• Translate field feedback into roadmap input for Product and Engineering.

Skills

Kubernetes in prod

Cloud platforms (AWS/Azure/GCP)

OpenShift

Terraform

CTO-level relationships

Tools

OpenShift

Terraform

MLOps tooling

Job description

Domino, a platform for regulated AI, is hiring a Solutions Architect to lead technical execution for Fortune 100 deployments across multi-cloud, on-prem and hybrid. You will design end-to-end reference architectures focused on data, identity, security and infrastructure in regulated environments.

You will build field integrations across AI/ML ecosystems, partner with account and SE teams on scoping and PoCs, and feed roadmaps into Product and Engineering to shape Domino's enterprise platform.