Solution Architect

Domino Data Lab; New York (NY); On-site; USD 150,000 - 210,000; Part time

Benefits offered by this job

Health insurance

Commuter benefits

Parental leave

Flexible PTO

Education reimbursement

Location independence

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Kubernetes production

Cloud platforms

AI/ML / MLOps

OpenShift familiarity

Enterprise IT experience

Customer relationships at CTO level

Tools

Terraform

MLOps tooling

Job description

• Our Professional Services team designs and delivers the architectures and integrations that embed Domino into our customers’ IT landscapes. As Solution Architects, we embed Domino into the most complex enterprise IT landscapes on the planet — hybrid cloud, on-prem, air-gapped, regulated — and turn what we see in the field into a sharper product
• 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 — not generic ones
• Translate what you see in the field into roadmap input Product and Engineering actually act on

Benefits

• Health & wellness: Premium medical, dental, and vision insurance plans, including a free option for you and your family
• Commuter benefits: What’s your transportation of choice? We support your daily commute, whether Uber, Lyft, bus, or train
• Love for parents: New parents receive up to eight weeks of fully paid-parental leave. P.S. Got baby pics? Share them in our Slack channel dedicated to kids
• Flexible paid time off: We value your right to disconnect. Take the time you need to recharge, spend time with family, and explore the world
• Annual education reimbursement: Pursue the professional growth that will help you excel in your role with educational opportunities that work for your needs, and at your speed
• Own your outcome: Feel supported to get your work done how and when you need to, regardless of your location

• 5+ years hands-on with Kubernetes in production — upgrades, migrations, multi-region DR, cluster management at scale
• 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
• 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, not one step below