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principal ai Salary in california

Based on 311 active job postings in california  ·  Updated 2026

Min Salary
$199,000
per year
Average Salary
$260,540
per year
Max Salary
$337,400
per year
Jobs Found
311
active listings

✨ AI Compensation Insight SALARY INSIGHTS

Generating real-time market insights and estimated salary range for principal ai in california...

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Open principal ai Jobs in california 311

Principal AI Platform Engineer
Coupa Software Foster City, California
$337400 / per year Full Time
Principal AI / ML Engineer - Embodied AI
General Motors Mountain View, California
$296300 / per year Full Time
Principal AI Research Engineer
Archer56 San Jose, California
$270000 / per year Full Time
Senior / Principal AI Engineer for Business Intelligence (7063)
TSMC - Taiwan Semiconductor Manufacturing Company Limited San Jose, California
$200000 / per year Full Time
Remote Principal AI Engineer (Autonomous Agent)
grabjobs Stockton, California Remote
$199000 / per year Full Time
Principal AI Research Talent Scout
Odyssey Palo Alto, California
Full Time
Principal AI Solutions Architect, Customer Success
Genesys Encino, California
Full Time
Venture Principal: AI & B2B Software in SF
InforCapital, partnership San Francisco, California
Full Time
Senior Principal AI Agent / ML Engineer (OCI)
Oracle Santa Clara, California
Full Time
HPE Labs - Principal AI and Machine Learning Research Engineer
Hewlett Packard Enterprise Milpitas, California
Full Time
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principal ai Salary FAQ

What is the average principal ai salary in california?
Based on 5 recent job postings, the average annual salary for a principal ai in california is approximately $260,540, with a range of $199,000 – $337,400.
How do I negotiate my principal ai salary?
Research comparable roles in your area, document your accomplishments, and arrive at negotiations with data. Use total compensation (base + bonus + equity + benefits) as your benchmark, not just base pay.
What factors affect principal ai compensation in california?
Key factors include years of experience, technical certifications, company size (startup vs. enterprise), industry (tech vs. finance vs. healthcare), and whether the role is remote-first or on-site in a high cost-of-living metro.