Senior Software Engineering Manager, Agentic Infrastructure - Jobs - Careers at Apple
- Build, mentor, and manage an inclusive organization of high-performing engineers.
- Dedicate time to fostering talent, driving hiring and onboarding, managing performance, and prioritizing overall team health and growth paths.
- Define the strategic vision and technical roadmap for agentic workflows and developer experience.
- Drive the execution of complex, multi-year projects end-to-end, balancing rapid iteration with long-term architectural stability.
- Partner closely with cross-functional product and cloud teams to enable delivery of seamless, secure, and delightful AI experiences.
- Foster a culture of engineering excellence and build for scale and performance, focusing on system reliability, scalable cloud architecture, observability, throughput and latency, cost efficiency, and robust evaluation metrics.
- Champion the adoption of generative AI tools and agentic workflows across the broader software organization to improve developer productivity and software quality.
- Spot problems before they occur, proactively resolve cross-functional bottlenecks, and present your team's work to executive leadership to advocate for resources and technical direction.
- Champion the security and privacy of user content, ensuring the team consistently applies secure-by-design and privacy-by-design principles in all architecture and delivery.
- 10+ years of engineering management experience, with a proven track record of delivering complex, large-scale engineering projects across multiple teams or organizations.
- Solid technical foundation in software engineering, distributed systems, and cloud infrastructure, with an ability to engage deeply with system design trade-offs.
- Demonstrated experience building and scaling developer tools, ML infrastructure, or AI systems from concept to production.
- Exceptional communication and interpersonal skills, with high emotional intelligence and the ability to influence across all levels, from executive partners to individual contributors.
- Demonstrated ability to operate effectively in ambiguity and handle rapidly shifting priorities without losing trust or execution discipline.
- Bachelor's, Master's, or equivalent professional experience in Computer Science, Computer Engineering, or a related field.
- Strong working proficiency and conceptual understanding of generative AI, foundation models, and agentic workflows, with hands-on experience bringing AI systems to production at scale.
- Experience leading organizations through periods of significant growth or technical transformation, including building and evolving team structures to match scaling demands.
- Strong analytical and data-driven mindset, with a genuine interest in software evaluation and using metrics to drive product and architectural decisions.
- Experience with Private Cloud Compute, on-device/cloud ML inference pipelines, or Apple silicon-adjacent infrastructure.
- Familiarity with secure-by-design and privacy-by-design principles as applied to cloud-based AI services.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
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Apple accepts applications to this posting on an ongoing basis.
Required Languages
🇬🇧 English