Deploying RAG systems at scale requires cloud infrastructure, and AWS leads the market. Amazon Bedrock provides managed access to foundation models, while OpenSearch and Kendra offer retrieval backends. Engineers who can architect RAG pipelines on AWS — from S3 data ingestion to SageMaker inference endpoints — are in high demand.
Deploying LLM applications in production requires both RAG expertise and AWS infrastructure skills. AWS provides the compute, scaling, and serving layer, while RAG handles the AI application logic. The 845 roles listing both reflect the growing need for engineers who can bridge AI development and cloud operations.
Top Roles Requiring AWS + RAG
AI/ML Engineer405 jobs
Research Scientist95 jobs
Data Scientist71 jobs
AI Product Manager66 jobs
Prompt Engineer52 jobs
LLM Engineer49 jobs
Career Impact
Professionals who combine AWS and RAG earn a median salary ceiling of
$229K, compared to $231K for AWS alone and
$224K for RAG alone. This 1% premium
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, 845 positions require both AWS and RAG skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both AWS and RAG pay an average of $141K to $229K based on 732 postings with disclosed compensation.
Jobs requiring both AWS and RAG pay $229K on average (max), compared to $231K for AWS alone and $224K for RAG alone. That represents a 1% premium for having both skills.
The most common roles requiring both AWS and RAG are: AI/ML Engineer, Research Scientist, Data Scientist, AI Product Manager. 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 845 job postings that list both AWS 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.
