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 $180,000—$220,000 USD