Solution Architect

· Remote

Location

Remote

Type

Full Time

Job Description

Domino Data LabJobs
Solution Architect

Solution Architect

Posted 5 Hours Ago
Easy Apply
Hiring Remotely in US
Remote or Hybrid
180K-220K Annually
Senior level
Artificial Intelligence • Machine Learning
Unleash data science one innovation at a time.
The Role
Design and deliver architectures and integrations to embed Domino into enterprise IT landscapes. Build test and document integrations and reference artifacts. Support sales and delivery with demos POCs and runbooks. Translate security/compliance needs into secure architectures and feed product requirements back to engineering. Grow expertise across cloud Kubernetes data and AI/ML tooling.
Summary Generated by Built In

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 Integration & Architecture team designs and delivers the architectures and integrations that embed Domino into our customers’ IT landscapes. As Solution Architects we partner with account teams and customers to scope technically sound solutions build the integrations that make Domino work in complex enterprise environments and feed real-world requirements back to Product — turning customer needs into secure supportable working solutions.

What your impact will be

  • Design and deliver solution architectures that integrate Domino into customer IT landscapes across infrastructure data identity and security.
  • Build test and document new field integrations with ecosystem technologies and enable the broader Solutions team on them.
  • Partner with account and sales-engineering teams on scoping custom demos and proofs of concept that address real customer use cases.
  • Create reproducible well-tested artifacts — reference architectures integration templates runbooks — that improve delivery consistency.
  • Gather field requirements and feature requests and translate them into actionable input for Product and Engineering.
  • Continuously grow across cloud Kubernetes data and AI/ML tooling applying new skills directly in customer solutions.

What we look for in this role

  • 5+ years professional technical experience including 1+ year in a client-facing consulting/solutions role.
  • Proven experience designing and implementing solutions in complex often regulated enterprise IT environments.
  • Hands-on DevOps experience with Kubernetes including managed offerings (EKS AKS GKE).
  • Experience with at least one major cloud provider (AWS Azure GCP).
  • Strong Linux fundamentals; distributed computing frameworks (Spark Hadoop Dask) a plus.
  • Experience with APIs integrations identity providers (SAML/OIDC Keycloak) and CI/CD pipelines.
  • Programming experience in Python and/or R (Bash/Terraform a plus).
  • Ability to translate security and compliance requirements into secure compliant architectures.
  • Hands-on AI/ML or data platform experience (Domino or comparable tooling) a strong plus.
  • Excellent communication: able to explain complex technical concepts to technical and non-technical audiences.

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

#LI-Remote

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
$180000$220000 USD

Skills Required

  • 5+ years professional technical experience including 1+ year in a client-facing consulting/solutions role.
  • Proven experience designing and implementing solutions in complex often regulated enterprise IT environments.
  • Hands-on DevOps experience with Kubernetes including managed offerings (EKS AKS GKE).
  • Experience with at least one major cloud provider (AWS Azure GCP).
  • Strong Linux fundamentals.
  • Distributed computing frameworks (Spark Hadoop Dask).
  • Experience with APIs integrations identity providers (SAML/OIDC Keycloak) and CI/CD pipelines.
  • Programming experience in Python and/or R.
  • Bash and Terraform experience.
  • Ability to translate security and compliance requirements into secure compliant architectures.
  • Hands-on AI/ML or data platform experience (Domino or comparable tooling).
  • Excellent communication: explain complex technical concepts to technical and non-technical audiences.

What the Team is Saying

Claus Murmann
Melissa Smith

Domino Data Lab Compensation & Benefits Highlights

  • Healthcare StrengthPremium medical dental and vision plans include multiple choices with at least one $0‑premium option for employees and families. Mental‑health resources and coverage breadth indicate robust employer support.
  • Leave & Time Off BreadthFlexible/unlimited PTO is promoted encouraging time away as needed. Remote‑friendly work and location flexibility further support taking leave without rigid constraints.
  • Wellbeing & Lifestyle BenefitsWellness and lifestyle perks include a Calm subscription fitness reimbursement a home‑office stipend for new hires and pre‑tax commuter benefits. Continuing‑education reimbursement adds lifestyle and growth support beyond core pay.

Domino Data Lab Insights

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The Company
HQ: San Francisco CA
200 Employees
Year Founded: 2013

What We Do

Domino Data Lab powers model-driven businesses with its leading Enterprise AI platform trusted by over 20% of the Fortune 100. Domino accelerates the development and deployment of data science work while increasing collaboration and governance. With Domino enterprises worldwide can develop better medicines grow more productive crops build better cars and much more. Founded in 2013 Domino is backed by Coatue Management Great Hill Partners Highland Capital Sequoia Capital and other leading investors. For more information visit www.domino.ai

Why Work With Us

We’re looking for sharp scrappy people who crave a high degree of ownership are laser-focused on personal growth and can stick the landing between high standards and low ego. In our fast-paced environment you’ll find all the white space and opportunity you need to thrive.

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Domino Data Lab Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQSan Francisco CA
London UK
Argentina (Remote Hub)
Learn more

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Date Posted

07/02/2026

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