Senior AI-Driven Compliance Data Engineer

PVH (Tommy Hilfiger/Calvin Klein); Cupertino (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Apple's PACE organization seeks a Senior Software Engineer to design, build, and ship AI-powered software that augments compliance, analytics, and product safety workflows. You will apply secure engineering practices, build robust data pipelines, and drive continuous delivery with observability, ensuring scalable systems across regulated environments.

You will collaborate with domain experts to translate problems into scalable solutions, mentor teammates, and help shape the engineering culture

Qualifications

• Master's degree in Computer Science, Computer Engineering, or equivalent.
• Experience in regulated industries and compliance-focused software.
• Strong background in AI/ML systems and data pipelines.
• Proficient in secure software practices and CI/CD.
• Experience with MLOps, model versioning, and production monitoring.
• Familiarity with retrieval-augmented generation and prompt engineering.
• Track record of building scalable data integrations in enterprise settings.
• Excellent collaboration and communication skills.

Responsibilities

• Design, build, and ship AI-powered software to improve team efficiency.
• Develop robust data pipelines with data quality and lineage.
• Implement secure engineering practices and governance.
• Collaborate with domain experts to translate problems into scalable solutions.
• Contribute to continuous delivery, observability, and production readiness.

Skills

AI systems

Data pipelines

Security & compliance

MLOps

LLM patterns

CI/CD

Observability

Experiment tracking

Prompt engineering

Retrieval-augmented generation

Education

Master's degree in CS/related field

Tools

Python

CI/CD tools

Job description

Apple's PACE organization seeks a Senior Software Engineer to design, build, and ship AI-powered software that augments compliance, analytics, and product safety workflows. You will apply secure engineering practices, build robust data pipelines, and drive continuous delivery with observability, ensuring scalable systems across regulated environments.

You will collaborate with domain experts to translate problems into scalable solutions, mentor teammates, and help shape the engineering culture