Enterprise AI/ML Solution Architect — Multi-Cloud & On-Prem

Domino Data Lab; New York (NY); Presencial; USD 150.000 - 210.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Commuter benefits

Parental leave

Flexible PTO

Education reimbursement

Location independence

Descripción de la vacante

Domino Data Lab seeks a Solution Architect to lead technical execution for enterprise deployments across multi-cloud, on-prem and hybrid environments. You will design end-to-end architectures, build field integrations with AI/ML tooling, and collaborate with account teams on scoping and PoCs to map real customer use cases.

You will translate field findings into roadmap input for Product and Engineering, helping embed Domino into complex IT landscapes and drive large-scale AI/ML adoption.

Formación

• 5+ years hands-on Kubernetes in production.
• Experience with at least one cloud (AWS/Azure/GCP).
• Experience with AI/ML or data platforms in regulated environments.

Responsabilidades

• Lead technical execution on Domino’s F100 deployments across multi-cloud, on-prem and hybrid.
• Design end-to-end reference architectures for regulated environments.
• Build and document field integrations across AI/ML ecosystems and enable Solutions teams.
• Partner with account and SE teams on scoping, demos and PoCs mapping to real use cases.
• Translate field observations into roadmap input for Product and Engineering.
• Embeds Domino into customers’ IT landscapes and accelerates adoption.

Conocimientos

Kubernetes production

Cloud platforms

AI/ML / MLOps

OpenShift familiarity

Enterprise IT experience

Customer relationships at CTO level

Herramientas

Terraform

MLOps tooling

Descripción del empleo

Domino Data Lab seeks a Solution Architect to lead technical execution for enterprise deployments across multi-cloud, on-prem and hybrid environments. You will design end-to-end architectures, build field integrations with AI/ML tooling, and collaborate with account teams on scoping and PoCs to map real customer use cases.

You will translate field findings into roadmap input for Product and Engineering, helping embed Domino into complex IT landscapes and drive large-scale AI/ML adoption.