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Role description

Solution Architect

Domino Data Lab logoDomino Data Lab
TypeFull-time
SenioritySenior
Salary$200,000–$250,000
LocationUnited States
Posted10/13/2026
Sales

Who We Are
At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility — all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. For more information, visit www.domino.ai

What We Are Building
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.

What Your Impact Will Be

  • 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.

What We Look For In This Role

  • 5+ years hands-on with Kubernetes in production — upgrades, migrations, multi-region DR, cluster management at scale.
  • 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.
  • 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.

What We Value

  • We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
  • We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
  • We believe in individuals who seek truth and speak the truth and can be their whole selves at work
  • We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything
  • We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company

The annual US base salary range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
Compensation Range

$200,000—$250,000 USD

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Company info

Domino Data Lab logo

Domino Data Lab

The Enterprise AI platform powering over 20% of the Fortune 100

Domino Data Lab partners with the world's most regulated enterprises as they build, scale, and govern AI-powered applications. From statistical computing to agentic AI, organizations use Domino's AI platform to develop new therapies, protect citizens, and secure financial markets — under the most complex regulatory requirements. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, UBS, and other leading investors. Learn more at domino.ai.

Private companyIn the news
Founded2013
HQSan Francisco, United States
Size201–500 employees
Unlock human wisdom
ThesisTermsPrivacy
Industry
Software Development
Funding
  • Funding round · Aug 21, 2025
  • Series F · Jun 15, 2022
Tech stackanaplan, bridge, sage-intacct, elasticsearch, ml-flow, insideview, drupal, tableau, scaleai, slack
News
  • Scaling Regulated AI with Domino on Amazon FSx for NetApp ONTAP
  • Domino Appoints Thomas Robinson CEO to Lead Company into AI Solutions Era

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