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AI Data & Infrastructure Engineer

Apple· Operations and Supply Chain
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Hybrid (Sunnyvale, California)$184.7k - $324.8kFull-timePosted 1mo ago

About the role

AI Data & Infrastructure Engineer within the 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 for 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 and the team can work with hands-on products. Then iterate on the best of those prototypes
  • Build and integrate tools that help make complex AI systems observable, understandable and debuggable
  • Strong understanding of distributed systems, parallel computing, and performance optimization
  • 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
  • Ability to 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+ 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.

Skills

Required:PythonSQLAirflowKubeflow or MLflowSpark (PySpark)KafkaPandasData lake/lakehouse (Iceberg, Delta Lake)RAG architectures
Nice to have:Java or Scala

Benefits

  • Base pay range: $184,700 - $324,800
  • Discretionary employee stock programs
  • Discretionary bonuses or commission payments as applicable
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Educational expense reimbursement (tuition)
  • Relocation assistance potentially available
Last updated Oct 2, 2026. Interested? Apply on the company site.

About Apple

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