Apple
Software Engineer - Regulatory AI & Connected Data
$185K–$325K
Cupertino, California · Full-time · Posted May 6, 2026
- Experience
- 7+ years building and shipping production software systems.
- Education
- Bachelor's Degree in Computer Science, Computer Engineering, related field, or equivalent work experience; a Master's degree is preferred.
About the job
Designs and ships AI-powered software and connected-data systems that improve regulatory compliance teams’ efficiency.
What you'll do
- Build and iteratively improve AI-powered systems, including production LLM integrations with evaluation, guardrails, monitoring, and decision audit trails.
- Build secure, observable data pipelines connecting corporate sources, ensuring data quality, lineage, and accessibility.
- Establish continuous delivery practices and collaborate with compliance experts and other teams on solutions and engineering culture.
What they ask for
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent work experience.
- 7+ years experience building and shipping production software systems.
- Track record delivering AI-powered systems at scale, including model integration, evaluation, and production monitoring.
- Proficient in Python and at least one other high-level programming language; experience with data pipelines, cloud infrastructure, Kubernetes, Docker, and production observability.
Nice to have
- Experience in regulated industries or securing AI/LLM systems that handle sensitive or regulated data.
- Experience with LLM application patterns, MLOps, or improving DORA metrics.
Pay
$184,700 and $324,800 (base salary range)
Tools
Python, Kubernetes, Docker, MCPs
AI focus
Build AI-powered systems for compliance-team efficiency; integrate and evaluate LLMs in production with guardrails, monitoring, secure data handling, and traceable decisions; develop agentic skills, agents, and MCPs.
Model-written summary · the original posting is authoritative