Engine - VP, AI Platform

• Experience. 15+ years in software or platform engineering, including 5+ years leading engineering teams or orgs and 8+ years building platforms or infrastructure other teams depend on. 3+ years hands on with production AI/ML: direct work with LLMs, agents, and evaluation. Given how new production LLM and agent systems are, we weight depth of shipped work over years in the space. • Platform and infrastructure leadership at scale. You have built and run shared platforms that many teams depend on, and made the build vs. buy and architecture calls that shaped an engineering org. • Platform and infrastructure leadership at scale. • Deep AI systems expertise. Hands on command of LLMs, agents, orchestration, evaluation, and the production realities of AI: latency, cost, reliability, and safety. • Deep AI systems expertise. • Hands on building. You can personally architect and ship core platform services in the founding phase, not just direct others. • Hands on building. • Executive influence and coequal leadership. You have partnered with executive peers on technical strategy and driven alignment across functions, comfortable owning a lane without absorbing others' mandates. • Executive influence and coequal leadership. • Engineering leadership. Proven ability to hire, level, and grow senior engineering talent and set a high craft bar. • Engineering leadership. • Security and responsible AI judgment. You build security, privacy, and safe use controls into AI infrastructure by default. • Security and responsible AI judgment. • Success in the First Six Months • The core rails are live and adopted: LLM gateway, agent framework, and evaluation infrastructure used by the first Applied AI teams and by engineering at large. • The Velocity program has a measured baseline: product delivery cycle time instrumented end to end, with the automated weekly scorecard publishing to leadership without manual effort. • The path to autonomy is open: coverage gates and testing frameworks live in the first pods, with entry criteria agreed for merging well covered code without human review. • The platform is the default way to build AI at Engine, with at least one flagship capability shipped on it and no competing bespoke stacks. • Cost controls and a security posture for platform AI are established with Security and IT. • The Triad operating rhythm is working, and the platform org (Director plus first principal and staff engineers) is growing on plan. • We accept applications for this role on an ongoing basis. We review applications as they are received and encourage interested candidates to apply early. • CompensationOur compensation packages are based on several factors, including your experience, expertise, and location. In addition to a competitive base salary, all roles receive equity. Depending on the role, total compensation may also include an annual bonus. Your recruiter will share your complete compensation package as you move through the process.