RAG and SageMaker frequently appear together in AI job postings, with 112 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $201K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
RAG and SageMaker appear together in 112 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 + SageMaker
AI/ML Engineer74 jobs
Data Scientist15 jobs
MLOps Engineer6 jobs
Prompt Engineer3 jobs
LLM Engineer3 jobs
RAG Engineer2 jobs
Career Impact
Professionals who combine RAG and SageMaker earn a median salary ceiling of
$201K, compared to $224K for RAG alone and
$201K for SageMaker alone. This 5% discount
reflects roles requiring both skills tend to be more common mid-level positions, while single-skill roles may skew toward senior or specialized positions with higher pay ceilings.
Based on our analysis of current AI job postings, 112 positions require both RAG and SageMaker skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both RAG and SageMaker pay an average of $123K to $201K based on 94 postings with disclosed compensation.
Jobs requiring both RAG and SageMaker pay $201K on average (max), compared to $224K for RAG alone and $201K for SageMaker alone. That represents a 5% discount for having both skills.
The most common roles requiring both RAG and SageMaker are: AI/ML Engineer, Data Scientist, 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 112 job postings that list both RAG and SageMaker
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.