Azure and RAG frequently appear together in AI job postings, with 441 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $205K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Deploying LLM applications in production requires both RAG expertise and Azure infrastructure skills. Azure provides the compute, scaling, and serving layer, while RAG handles the AI application logic. The 441 roles listing both reflect the growing need for engineers who can bridge AI development and cloud operations.
Top Roles Requiring Azure + RAG
AI/ML Engineer250 jobs
AI Product Manager61 jobs
MLOps Engineer31 jobs
Prompt Engineer28 jobs
LLM Engineer22 jobs
Data Scientist19 jobs
Career Impact
Professionals who combine Azure and RAG earn a median salary ceiling of
$205K, compared to $207K for Azure alone and
$224K for RAG alone. This 5% 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, 441 positions require both Azure and RAG skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Azure and RAG pay an average of $133K to $205K based on 360 postings with disclosed compensation.
Jobs requiring both Azure and RAG pay $205K on average (max), compared to $207K for Azure alone and $224K for RAG alone. That represents a 5% discount for having both skills.
The most common roles requiring both Azure and RAG are: AI/ML Engineer, AI Product Manager, MLOps Engineer, Prompt 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 441 job postings that list both Azure 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.