Gcp + Rag Jobs in 2026

Gcp and Rag frequently appear together in AI job postings, with 1,978 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $233K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

1,978
Job Count
$134K
Avg Min Salary
$233K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why Gcp + Rag?

AI job market dashboard showing open roles by category

Gcp and Rag appear together in 1,978 current AI job postings, most commonly for AI/ML Engineer positions. This combination signals that employers are looking for versatile engineers who can work across multiple layers of the AI stack. Companies hiring for this pair tend to value candidates who can bridge different technical domains rather than specialize in just one.

Top Roles Requiring Gcp + Rag

AI/ML Engineer 1,451 jobs
Data Engineer 165 jobs
AI Software Engineer 131 jobs
AI Architect 69 jobs
Data Scientist 53 jobs
AI Consultant 45 jobs

Career Impact

Professionals who combine Gcp and Rag earn a median salary ceiling of $233K, compared to $231K for Gcp alone and $176K for Rag alone. This 14% premium reflects the market values the integration of these two skills. Employers pay more for candidates who can work across both rather than hiring separate specialists.

Top Companies Hiring for Gcp + Rag

Salary Comparison: Combo vs Individual Skills

Gcp Only
$231K
2,247 jobs
+1% vs combo
Gcp + Rag
$233K
1,978 jobs
Rag Only
$176K
16,749 jobs
+32% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 1,978 positions require both Gcp and Rag skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Gcp and Rag pay an average of $134K to $233K based on 1686 postings with disclosed compensation.
Jobs requiring both Gcp and Rag pay $233K on average (max), compared to $231K for Gcp alone and $176K for Rag alone. That represents a 14% premium for having both skills.
The most common roles requiring both Gcp and Rag are: AI/ML Engineer, Data Engineer, AI Software Engineer, AI Architect. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 26,159 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of April 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.

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Methodology

Skill co-occurrence data is derived from 1,978 job postings that list both Gcp and Rag as required or preferred skills. Salary data includes only postings with disclosed compensation ranges. Data is updated weekly from major job boards and company career pages.