This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We’re seeking a Distinguished Engineer - a hands-on technical leader operating at the VP level - to shape the vision and technical roadmap of our core AI/ML infrastructure that powers enterprise AI applications. Reporting directly to the SVP of Engineering, Enterprise AI, this individual will drive long-term technical direction for our Scale GenerativeAI Platform (SGP), influence architectural decisions across the company, and partner closely with engineering and product leaders to bring advanced AI capabilities to enterprise customers. You’ll serve as a cross-organizational thought leader - setting standards for technical excellence, mentoring senior engineers, and ensuring our systems and models meet the demands of global-scale deployment. This is a rare opportunity to influence both foundational AI infrastructure and the enterprise AI applications built on top of it.
Job Responsibility:
Define and drive the technical strategy for Scale’s AI/ML infrastructure and SGP platform, balancing short and long-term investments
Partner with senior engineering and product leadership to ensure scalable, secure, and performant enterprise AI systems
Lead architecture and design reviews across multiple teams, ensuring technical consistency and innovation
Serve as a trusted advisor and mentor to principal engineers and technical leads across the organization
Evaluate and integrate emerging technologies in AI, distributed systems, and data infrastructure to keep Scale at the frontier of innovation
Represent Scale externally in the AI community - through speaking engagements, partnerships, and thought leadership
Drive technical execution and accountability for critical cross-functional initiatives that advance Scale’s enterprise AI capabilities
Requirements:
15+ years of experience as a technical software engineering leader
Proven record of technical leadership at AI-native companies, hyperscalers, or equivalent high-scale environments
Deep technical expertise in AI/ML infrastructure, knowledge of ML models/algorithm design/implementation and their application to real-world problems
experience with GenAI preferred
Demonstrated success in setting technical vision and leading cross-organizational initiatives with measurable business impact
Experience influencing and mentoring engineering teams in complex, matrixed environments
Ability to communicate and collaborate effectively to create a shared sense of vision or purpose cross-team and cross-functionality
Advanced degree in Computer Science, Engineering, or related field preferred but not required