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 youll architect platform solutions that deliver flexibility resilience and cost optimization while meeting Apples stringent security and privacy requirements. Collaborating with AI/ML teams data scientists and infrastructure organizations youll 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.
Bachelors degree in Computer Science Engineering or related field or equivalent professional experience
7 years of experience in software architecture design and development with expertise in Domain Driven Design Service Oriented Architecture and Distributed Systems
3 years of experience in technical leadership roles focused on platform engineering or infrastructure
Proficiency with containerized technologies (Docker) and container orchestration platforms (Kubernetes Terraform)
Proven ability to design operate and maintain distributed systems (monitoring observability automation etc.)
Proven development skills building backend API services using Python (preferred) and/or JavaScript
Practical experience with asynchronous programming type safety threading models state machines and data structures
Familiarity with AI/ML technologies including LLMs 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 audience
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