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genai engineer Salary in california

Based on 49 active job postings in california  ·  Updated 2026

Min Salary
$207,000
per year
Average Salary
$262,333
per year
Max Salary
$290,000
per year
Jobs Found
49
active listings

✨ AI Compensation Insight SALARY INSIGHTS

Generating real-time market insights and estimated salary range for genai engineer in california...

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Open genai engineer Jobs in california 49

Staff GenAI Engineer: AI-Driven IC Design & Optimization
Micron Technology, Inc. San Jose, California
$290000 / per year Full Time
Staff GenAI Engineer - AMS Design and Optimization
Micron Technology, Inc. San Jose, California
$290000 / per year Full Time
Staff AI/ML GenAI Engineer - Cloud Applications
Google Sunnyvale, California
$207000 / per year Full Time
Genai Engineer Llm Rag Agentic Ai
PRIMUS Global Services San Jose, California
Full Time
Senior ML & GenAI Engineer
Eleven Recruiting Menlo Park, California
Full Time
Lead GenAI Engineer - Architect AI at Scale
Roundel Sunnyvale, California
Full Time
Staff AI/ML GenAI Engineer – Cloud & GenAI Leader
Google Mountain View, California
Full Time
GenAI Engineer: Build Scalable AI for Real-World Apps
Gravity Engineering Services Pvt Ltd. Mountain View, California
Full Time
GenAI Engineer: Build Enterprise AI Apps & Bots
KPI Partners Fremont, California
Full Time
Lead GenAI Engineer - Production AI Systems
Stanford University Redwood City, California
Full Time
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genai engineer Salary FAQ

What is the average genai engineer salary in california?
Based on 3 recent job postings, the average annual salary for a genai engineer in california is approximately $262,333, with a range of $207,000 – $290,000.
How do I negotiate my genai engineer 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 genai engineer 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.