D

Domino Data Lab

Makes software for building AI at regulated firms

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • One to three years of experience working in a customer-facing technical role.
  • Strong engineering foundation and proficiency in Python, with familiarity with SQL, R, and Bash.
  • Experience with Kubernetes and managed Kubernetes solutions such as EKS, AKS, or GKE, Docker, and cloud architecture on AWS, Azure, or GCP; ability to troubleshoot networking, compute, and platform issues.
  • A track record of delivering machine learning workflows, model deployment and monitoring, GPU workloads, and generative AI or agent frameworks.
  • Experience operating within or consulting for highly regulated or constrained environments, including navigating compliance rules, data security requirements, and infrastructure limits.
  • Ability to run structured discovery conversations and technical solutioning sessions and translate customer requirements into buildable, tested solutions.
  • Ability to become productive quickly in an unfamiliar codebase and take ownership amid ambiguity.

Responsibilities

  • Learn Domino platform mechanics and core user and administrator functionalities, and shadow customer environments alongside a senior Forward Deployed Engineer to learn client data, tooling, and commercial objectives.
  • Take full ownership across customer engagements and execute independently against a prioritized backlog managed by an Engagement Manager.
  • Build and deploy production-grade solutions across the machine learning operations lifecycle, including development, deployment, and monitoring, while advising data science teams on Domino best practices.
  • Lead and advise on key accounts as a trusted advisor to technical and business stakeholders.
  • Author reusable playbooks, integration templates, and deployment guides for the shared knowledge base.
  • Translate field intelligence into product feedback, routing platform signals to Site Reliability Engineering, Support, and Product teams to shape the product roadmap.
  • Build and deploy production-grade AI solutions for customer use cases, including specialized AI and inference workflows, custom cloud and data integrations, interactive applications, continuous integration and continuous delivery and platform extensions, and solutions designed for strict security, compliance, and governance requirements.

Desired Qualifications

  • No explicitly identified preferred or desirable qualifications are stated.

About the Company

Domino Data Lab

Makes software for building AI at regulated firms

Domino Data Lab makes software that large companies and government agencies use to build and govern AI, with a focus on heavily regulated fields such as drug development, banking, and defense. Its platform, launched in 2014, was one of the first to package each data science project in a container, a sealed software setup, so results can be rerun exactly. Data scientists write code in Python, R, or SAS and train models on their company's own servers or any major cloud, while Domino logs each step so auditors can trace how a result was made. Customers pay subscriptions priced by the number of users and run Domino themselves or as a service Domino hosts. Domino was founded in 2013 and is based in San Francisco.

Company size
201-500
Company stage
Series F
Total funding
$226.6M
Headquarters
San Francisco, CA
Founded
2013

Recently Posted Jobs

Explore more opportunities at Domino Data Lab

See more jobs