Jobs at Domino Data Lab

Lead technical execution for strategic enterprise AI/ML deployments across multi-cloud, on-premises, hybrid, regulated, and air-gapped environments. Design reference architectures, manage Kubernetes implementations, build integrations across data and MLOps ecosystems, support customer scoping and proofs of concept, and translate field experience into product roadmap improvements. The role partners with senior customer technology leaders and internal account, sales engineering, product, and engineering teams.

Build scalable AI and machine learning platform capabilities across model development, deployment, monitoring, cataloging, tagging, and LLM hosting. Collaborate with customers and cross-functional teams to integrate platforms such as AWS SageMaker and Azure ML. Develop secure APIs and distributed backend systems, optimize cloud and containerized services, and establish robust testing and CI/CD pipelines.

Own and modernize Domino's Tempest scale-testing platform; build repeatable automated validation, sizing guidance, and cloud-scale test automation; partner with platform teams to enable multi-cloud scale testing and improve test reliability and reporting.

Lead technical evaluations, demos, and proof-of-concepts of the Domino platform for US federal and defense customers. Design solution architectures meeting federal security/compliance (FedRAMP, IL5), build reusable demo assets, and drive post-POC adoption working with Sales, Customer Success, and Solutions Architects to increase win rates and accelerate deployment.