You will architect and deliver scalable platforms that make AI accessible reliable and impactful across Apples hardware engineering organization. This is an opportunity to shape the foundation for how AI is adopted inside Apple enabling faster innovation better decisions and entirely new ways of building products.
Bachelors or Masters degree in Computer Science Engineering or equivalent experience.
Min 5 years relevant post graduate experience
Proven track record delivering large-scale high-impact AI/ML platforms from concept to production.
Deep expertise in distributed systems cloud infrastructure and API design for high-throughput low-latency workloads.
Hands-on experience with modern AI/ML frameworks and services (e.g. LLMs OpenAI Google Gemini) and proficiency in Python TypeScript Go Java or Scala.
Experience architecting and operating cloud-native environments (AWS GCP Kubernetes EKS) using Infrastructure as Code (Pulumi Terraform).
Strong background building developer platforms tools and workflows that accelerate the adoption of AI across diverse teams.
Exceptional leadership skills: able to guide mentor and inspire senior engineers and cross-functional partners.
Comfortable presenting complex technical concepts to executives influencing strategic direction and aligning initiatives across organizations.
History of innovation in AI applications agentic systems or autonomous systems.
Experience leading distributed engineering teams across multiple locations.
Prior work in applied AI for enterprise-scale or consumer-facing solutions.
Familiarity with Apples development ecosystem is a plus.
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