← All roles

AI Data & Infrastructure Engineer

Apple· Operations and Supply Chain
Apply on company site
Hybrid (Cupertino, CA and Sunnyvale, CA)$184.7k - $324.8kFull-timePosted 3w ago

About the role

AI Data & Infrastructure Engineer on Apple’s Manufacturing Systems and Infrastructure (MSI) team, responsible for end-to-end design, build, and operation of scalable AI data systems powering enterprise GenAI and Agentic AI capabilities across manufacturing operations.

Responsibilities

  • Create robust, scalable architectures for systems that handle data orchestration for AI features
  • Design, build, and maintain scalable AI data platforms, services, and APIs that support and enable Agentic AI workflow development & automation
  • Develop data ingestion, transformation, and publishing pipelines for structured, unstructured, and multimodal data
  • Design and implement Retrieval-Augmented Generation (RAG) pipelines, embedding workflows, vector database integrations, and metadata services for enterprise AI applications
  • Be able to quickly build an idea so you can work with hands-on products and iterate on prototypes
  • Build and integrate tools that help make complex AI systems observable, understandable and debuggable
  • Collaborate with AI/ML engineers, software engineers, product teams, and domain experts to define AI data requirements and deliver production-ready data solutions
  • Optimize platform scalability, reliability, performance, security, and cost across cloud-native environments and Agentic systems
  • Clearly communicate complex technical problems and collaborate with partners to develop solutions

Qualifications

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related field
  • 8+ years of experience designing and building scalable data platforms and distributed systems
  • Strong programming skills in Python and SQL, with proficiency in Java or Scala preferred
  • Experience with Airflow, Kubeflow, or MLflow to build and orchestrate scalable AI data pipelines
  • Experience building scalable batch and streaming data pipelines using Spark (PySpark), Kafka, Airflow, and Ray, with proficiency in Pandas and modern data lake/lakehouse architectures (e.g., Iceberg, Delta Lake)
  • Experience using modern development tools, including AI-assisted coding tools, while applying sound engineering judgment to review, validate, and improve generated code
  • Knowledge of RAG architectures, embedding generation, vector databases, and AI data preparation for LLMs and agentic AI
  • Experience with cloud platforms (AWS, Azure, or GCP), Kubernetes, Docker, CI/CD, and Infrastructure as Code
  • Demonstrated ability to understand complex user workflows, translate them into practical technical solutions, and collaborate across teams to deliver measurable outcomes
  • Excellent communication and collaboration skills, with the ability to translate technical concepts into clear, business focused insights
  • Experience with or strong understanding of Generative AI, LLMs, Agentic Systems, or RAG workflows
  • Experience integrating LLMs into existing systems
  • Experience with API design for engineers and AI systems
  • Experience working with manufacturing, operational, IoT, or industrial data platforms
  • Demonstrated ability to lead technical initiatives and mentor engineers

Skills

Required:PythonSQLAirflowSpark (PySpark)KafkaPandasIceberg/Delta LakeCloud platformsKubernetesDockerCI/CD
Nice to have:Java or ScalaKubeflowMLflow

Benefits

  • Discretionary employee stock programs
  • Eligibility for discretionary restricted stock unit awards
  • Employee Stock Purchase Plan with stock purchase at a discount
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Educational expense reimbursement including tuition
  • Potential for discretionary bonuses or commission payments and relocation
Last updated Oct 2, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11
Company profileWebsite

More open roles at Apple