Remote Solution Architect — Enterprise AI & MLOps Lead

OpenKrill; United States; Remote; USD 200,000 - 250,000; Full time

Benefits offered by this job

Equity

Company bonus

401(k) plan

Medical benefits

Wellness stipend

Job summary

Domino is seeking a Solutions Architect to lead technical execution across multi-cloud, on-prem, and hybrid deployments for enterprise AI/ML at scale.

You will design end-to-end reference architectures for regulated environments and build field integrations with data platforms, model registries, and MLOps tooling.

You will partner with account and SE teams on scoping, demos, and PoCs, translating customer insights into actionable roadmap inputs for Product and Engineering.

Qualifications

• 5+ years hands-on with Kubernetes in production.
• End-to-end enterprise Kubernetes implementations in the wild, cloud or on-prem.
• Direct experience owning strategic customer relationships at CTO/platform-lead level.
• Hands-on with at least one major cloud (AWS/Azure/GCP) and security/compliance in architectures.
• Hands-on AI/ML or data platform experience in regulated environments.

Responsibilities

• Lead technical execution on Domino's most strategic deployments — multi-cloud, on-prem, and hybrid.
• Design end-to-end reference architectures for regulated environments across data, identity, security, and infrastructure.
• Build and document field integrations across the AI/ML ecosystem (data platforms, model registries, MLOps tooling).
• Partner with account and SE teams on scoping, custom demos, and PoCs mapped to real customer AI use cases.
• Translate field observations into roadmap input Product and Engineering actually act on.

Skills

Kubernetes in production

Cloud platforms (AWS/Azure/GCP)

Enterprise IT architecture

CTO-level relationship management

AI/ML or MLOps experience

Tools

OpenShift

Terraform

Job description

Domino is seeking a Solutions Architect to lead technical execution across multi-cloud, on-prem, and hybrid deployments for enterprise AI/ML at scale.

You will design end-to-end reference architectures for regulated environments and build field integrations with data platforms, model registries, and MLOps tooling.

You will partner with account and SE teams on scoping, demos, and PoCs, translating customer insights into actionable roadmap inputs for Product and Engineering.