Principal Engineer, Software (Enterprise Platform)

<p><strong>Your Impact at LILA</strong></p> <p>Lila Sciences is building the infrastructure for autonomous science — AI systems that design experiments, run them in physical labs, and close the loop across life sciences, chemistry, and materials science. Our platform enables this to operate reliably at scale for external customers who require security, auditability, and operational rigor.</p> <p>We’re hiring a <strong>Principal Engineer, Enterprise Platform</strong> to build the foundational systems that make Lila ready for the world’s largest pharmaceutical and research organizations.</p> <p>Today we have the beginnings of multi-tenancy, identity and granular permissions and scopes, audit infrastructure, usage and billing.&nbsp; Enterprise customers require significantly more. You will drive core enterprise capabilities to production: multi-tenancy and tenant isolation, enterprise identity and permissions to support the full lifecycle of the Lila Platform, metering and billing infrastructure, audit logging, etc. You will push the frontier — building agentic AI-powered systems for self-service tenant management, intelligent customer observability, automated compliance workflows, Lila SDK, MCP, and AI-native external APIs that let customers and third-party agents interact programmatically with Lila's platform.</p> <p>This is a deeply technical senior individual contributor role focused on defining and building correct, secure, and scalable platform infrastructure. This is a high-autonomy, high-impact role. We move fast, ship weekly, and expect engineers who thrive in ambiguity not ones who wait for requirements to be handed to them. You will own outcomes.</p> <p><strong>What You'll Be Building</strong></p> <p>Enterprise infrastructure is foundational to making autonomous science deployable in the real world. The systems built in this role will determine how large organizations safely adopt, govern, and scale AI-driven scientific workflows across teams, data domains, and regulatory environments.</p> <p>You’ll help define the platform primitives that make that possible.</p> <ul> <li>Design and evolve the core identity systems powering Lila’s enterprise platform — organizations, groups, roles, SCIM provisioning, seat lifecycle management, and fine-grained authorization across experiments, datasets, models, and scientific workflows. You’ll define how tenant isolation, policy evaluation, and access governance work across the platform.</li> <li>Design tenant-aware schemas, metadata systems, and platform primitives that support highly heterogeneous scientific data across life sciences and materials science workloads. Drive architectural decisions around scalability, reliability, retention, and operational correctness.</li> <li>Architect systems for tenant provisioning, usage me