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Software Engineer - Regulatory AI & Connected Data

Apple· Software and Services / Product Analysis and Compliance Engineering (PACE)
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Cupertino, CA$184.7k - $324.8kFull-timePosted 1w ago

About the role

Senior Software Engineer on the PACE team building AI-powered software to improve regulatory compliance, data connectivity, and efficiency. Focus on design, delivery of AI-driven systems, and production-ready practices with emphasis on observability, security, and continuous delivery.

Responsibilities

  • Design, build, and ship AI-powered software systems that improve team efficiency, delivering incrementally and iterating based on user feedback
  • Apply secure engineering practices throughout: secrets management, data classification, access control, and audit logging appropriate for compliance-sensitive data
  • Build and maintain robust data pipelines that connect corporate data sources, ensuring data quality, lineage, and accessibility
  • Effectively use & improve leading agentic harnesses to build software with your principles, through the development of skills, agents and MCPs
  • Integrate AI and large language models into production systems with appropriate evaluation, guardrails, and monitoring - treating models as components, not magic.
  • Ensure that there is an audit trail for traceability/lineage for AI/LLM based decisions
  • Establish and maintain continuous delivery pipelines, optimizing for the DORA metrics: deployment frequency, lead time, change failure rate, and mean time to recovery
  • Build observability into every system from day one - instrumentation, structured logging, alerting, and dashboards that give the team confidence to ship fast
  • Write clean, testable, well-factored code; practice continuous integration, continuous refactoring, and small batch delivery as daily habits
  • Actively explore the PACE team’s domain, emerging tools, and adjacent problem spaces - bring new ideas and challenge assumptions
  • Work directly with PACE team’s domain experts to understand problems deeply before building solutions
  • Collaborate across teams and organizations to integrate data sources and align on technical direction
  • Contribute to the engineering culture of a new team - shaping practices, running retrospectives, and helping the team continuously improve
  • Represent your work through demos, design discussions, and clear written communication

Qualifications

  • Bachelor''s Degree in Computer Science, Computer Engineering, related field, or equivalent work experience
  • 7+ years experience building and shipping production software systems
  • Strong track record of delivering AI-powered systems at scale, including model integration, evaluation, and production monitoring
  • Deep practical experience with modern software engineering practices: continuous integration, continuous delivery, trunk-based development, and incremental delivery
  • Proficient in Python and at least one other high-level programming language
  • Experience building data pipelines and working with connected data across multiple sources
  • Experience with cloud infrastructure and container technologies including Kubernetes and Docker
  • Demonstrated ability to build observability into production systems - metrics, tracing, logging, and alerting
  • A curious mindset - you dig into unfamiliar domains, ask why things work the way they do, and seek out knowledge beyond your immediate responsibilities
  • Excellent written and verbal communication skills with both technical and non-technical audiences

Skills

Required:AI/ML integrationData pipelinesCloud + containersObservabilitySecure engineeringSoftware engineering practices

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Range of discounted products and free services
  • Education-related reimbursement for advancing your career (tuition)
  • Discretionary bonuses or commission possible
  • Relocation assistance
Last updated Oct 16, 2026. Interested? Apply on the company site.

About Apple

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