Senior Enterprise AI Solutions Architect – Remote

Domino Data Lab; United States; Remote; USD 200,000 - 250,000; Full time

Benefits offered by this job

Equity

Bonuses

401(k) plan

Health benefits

Wellness stipends

Job summary

Domino Data Lab is seeking a Solution Architect to lead complex enterprise deployments across multi-cloud, on-prem, and hybrid environments. You will design reference architectures focused on data, security, and governance while developing field integrations with AI/ML ecosystems.

You will partner with sales and SE teams to tailor demos and PoCs that address real customer use cases. The role requires deep Kubernetes expertise, hands-on cloud experience, and a track record of influencing roadmaps

Qualifications

• 5+ years hands-on with Kubernetes in production environments.
• End-to-end enterprise Kubernetes implementations in 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).
• 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, hybrid.
• Design end-to-end reference architectures for regulated environments (data, identity, security, infra).
• Build and document field integrations across AI/ML ecosystem and enable Solutions team on them.
• Partner with account and SE teams on scoping, demos, and PoCs mapped to real customer use cases.
• Translate field feedback into roadmap input for Product and Engineering.

Skills

Kubernetes production

Enterprise Kubernetes

Customer relationships

Cloud platforms

AI/ML familiarity

Tools

OpenShift

Terraform

MLOps tooling

Job description

Domino Data Lab is seeking a Solution Architect to lead complex enterprise deployments across multi-cloud, on-prem, and hybrid environments. You will design reference architectures focused on data, security, and governance while developing field integrations with AI/ML ecosystems.

You will partner with sales and SE teams to tailor demos and PoCs that address real customer use cases. The role requires deep Kubernetes expertise, hands-on cloud experience, and a track record of influencing roadmaps