RAG and Vertex AI frequently appear together in AI job postings, with 85 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $221K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
RAG and Vertex AI appear together in 85 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 RAG + Vertex AI
AI/ML Engineer38 jobs
AI Software Engineer17 jobs
LLM Engineer7 jobs
MLOps Engineer7 jobs
Data Scientist6 jobs
Prompt Engineer4 jobs
Career Impact
Professionals who combine RAG and Vertex AI earn a median salary ceiling of
$221K, compared to $224K for RAG alone and
$224K for Vertex AI alone. This 2% discount
reflects the salary ceiling is roughly equivalent whether you specialize in one skill or combine both, suggesting the market values either path equally.
Based on our analysis of current AI job postings, 85 positions require both RAG and Vertex AI skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both RAG and Vertex AI pay an average of $132K to $221K based on 63 postings with disclosed compensation.
Jobs requiring both RAG and Vertex AI pay $221K on average (max), compared to $224K for RAG alone and $224K for Vertex AI alone. That represents a 2% discount for having both skills.
The most common roles requiring both RAG and Vertex AI are: AI/ML Engineer, AI Software Engineer, LLM Engineer, MLOps Engineer. These positions typically involve building production AI systems that leverage both technologies.
Data Source: Analysis based on 1,969 AI job postings collected and verified by AI Market Pulse. Data reflects active job listings as of March 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 85 job postings that list both RAG and Vertex AI
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.
