Explore high-impact Engineering Manager, AI Platform jobs and lead the teams that build the intelligent core of modern technology. An Engineering Manager for an AI Platform is a specialized leadership role at the intersection of software engineering, infrastructure, and artificial intelligence. This professional is responsible for building and maintaining the foundational systems that enable machine learning scientists and product engineers to develop, deploy, and scale AI-powered applications. Unlike managing a product-focused team, this role centers on creating internal platforms—the tools, services, and infrastructure that act as a force multiplier for the entire organization's AI ambitions. In this capacity, typical responsibilities involve setting the technical vision and roadmap for the AI platform. This includes overseeing the development of core components such as model inference services, training pipelines, agent orchestration frameworks, and evaluation systems. A primary goal is to ensure these platforms are reliable, scalable, and secure, providing a robust foundation for high-stakes production AI. The manager is also deeply focused on developer experience, striving to make complex AI infrastructure accessible and efficient for other engineering teams to use, thereby accelerating innovation across the company. Leadership extends beyond pure management. This is often a hands-on technical role where the manager contributes to architectural decisions, reviews code, and stays deeply embedded in the technology. They lead a team of senior software and infrastructure engineers, mentoring them and fostering a culture of excellence, agency, and collaboration. A critical part of the job is partnering with stakeholders, including ML researchers, data scientists, and product leaders, to align platform capabilities with business needs and emerging AI trends. Typical skills and requirements for these jobs include a strong background in software engineering and systems design, often with prior experience as a staff or principal engineer. Proven experience in managing technical teams, particularly in platform, infrastructure, or backend domains, is essential. While deep AI/ML expertise is a plus, a robust understanding of distributed systems, cloud infrastructure, and API design is fundamental. The ideal candidate possesses strategic thinking to plan long-term roadmaps, coupled with the operational rigor to ensure system reliability and performance. A passion for enabling others and a keen curiosity about the evolving AI landscape are hallmarks of professionals succeeding in these challenging and rewarding jobs. If you are a leader who thrives on building the bedrock of innovation, Engineering Manager, AI Platform jobs offer a pivotal career path at the forefront of technological advancement.
