Set the architectural direction for Domino’s centralized identity and authorization platform, including evolving relationship-based authorization, hardening production operations, and planning migrations from legacy access checks. Guide and unblock engineering teams, improve platform interfaces and engineering quality, and establish secure, effective practices for AI-assisted development.
Own customer programs from contract signature through adoption and expansion, directing delivery teams, managing milestones and stakeholder communication, and ensuring customer outcomes. Lead solutioning and change management, identify growth opportunities, and bring customer feedback and commercial signals back to internal teams.
Lead technical execution for strategic enterprise AI/ML deployments across hybrid and multi-cloud environments. Design end-to-end reference architectures and document field integrations to support complex customer IT landscapes.
You will design solutions for deploying models to cloud platforms and build a Data Science Catalog to improve resource discoverability. Additionally, you will integrate model monitoring and expand LLM hosting capabilities to enhance platform performance and scalability.
The Forward Deployed Engineer will build and deploy production-grade AI solutions while embedded within customer environments. They will manage the full MLOps lifecycle and serve as a trusted technical advisor to key stakeholders.
Build and deploy production-grade AI workflows and MLOps solutions within highly regulated life sciences customer environments. Act as a technical advisor to stakeholders while translating field intelligence into product feedback for the Domino platform roadmap.
