About The Position

Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Data Science - AI Agents Platform Engineering team to build the foundational platform that powers AI agents across Apple. Together, we'll create resilient, scalable infrastructure that enables agentic systems to operate seamlessly at enterprise scale while safeguarding what matters most - our customers' privacy and trust. As a Senior Software Engineer (Lead) for AI Agents, you will define the technical vision and lead the architectural evolution of platform infrastructure that enables AI agents to thrive at Apple scale. You will drive strategic platform decisions, mentor engineering teams, and influence technical direction across multiple organizations while building and optimizing the platform that supports our agentic ecosystem - from data pipelines and compute orchestration to monitoring and reliability systems. Operating across multi-cloud and hybrid environments, you'll architect platform solutions that deliver flexibility, resilience, and cost optimization while meeting Apple's stringent security and privacy requirements. Collaborating with AI/ML teams, data scientists, and infrastructure organizations, you'll translate the unique requirements of agentic workloads into scalable platform capabilities that enable rapid innovation. You will lead cross-functional technical initiatives, establish platform engineering best practices, and drive the strategic roadmap for AI agent infrastructure at Apple.

Requirements

  • Familiarity with AI/ML technologies including LLMs and AI Agents (LangChain, Google ADK, etc.).
  • Track record designing client-agnostic APIs using REST and/or GraphQL.
  • Understanding of OAuth 2.0 fundamentals (authentication, delegated authorization, etc.).
  • Experience with managed cloud platforms such as AWS, GCP, Azure.
  • Excellent communication skills to collaborate with non-technical audiences.

Responsibilities

  • Define the technical vision and lead the architectural evolution of platform infrastructure for AI agents.
  • Drive strategic platform decisions and mentor engineering teams.
  • Influence technical direction across multiple organizations.
  • Build and optimize the platform that supports the agentic ecosystem, including data pipelines and compute orchestration.
  • Architect platform solutions across multi-cloud and hybrid environments.
  • Deliver flexibility, resilience, and cost optimization while ensuring security and privacy requirements are met.
  • Collaborate with AI/ML teams, data scientists, and infrastructure organizations to translate requirements into scalable capabilities.
  • Lead cross-functional technical initiatives and establish platform engineering best practices.
  • Drive the strategic roadmap for AI agent infrastructure.

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Industry

Computer and Electronic Product Manufacturing

Number of Employees

5,001-10,000 employees

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