Rag and Sagemaker frequently appear together in AI job postings, with 87 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $199K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Rag and Sagemaker appear together in 87 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 Engineer60 jobs
Data Scientist20 jobs
AI Architect4 jobs
AI Engineering Manager1 jobs
Research Scientist1 jobs
AI Software Engineer1 jobs
Career Impact
Professionals who combine Rag and Sagemaker earn a median salary ceiling of
$199K, compared to $214K for Rag alone and
$203K for Sagemaker alone. This 4% 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, 87 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 $136K to $199K based on 59 postings with disclosed compensation.
Jobs requiring both Rag and Sagemaker pay $199K on average (max), compared to $214K for Rag alone and $203K for Sagemaker alone. That represents a 4% discount for having both skills.
The most common roles requiring both Rag and Sagemaker are: AI/ML Engineer, Data Scientist, AI Architect, AI Engineering Manager. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 3,708 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of July 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 87 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.
