Azure and Sagemaker frequently appear together in AI job postings, with 82 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $198K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Azure and Sagemaker appear together in 82 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 Azure + Sagemaker
AI/ML Engineer58 jobs
Data Scientist18 jobs
AI Architect3 jobs
AI Software Engineer2 jobs
MLOps Engineer1 jobs
Career Impact
Professionals who combine Azure and Sagemaker earn a median salary ceiling of
$198K, compared to $203K for Azure alone and
$203K for Sagemaker alone. This 3% 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, 82 positions require both Azure and Sagemaker skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Azure and Sagemaker pay an average of $133K to $198K based on 65 postings with disclosed compensation.
Jobs requiring both Azure and Sagemaker pay $198K on average (max), compared to $203K for Azure alone and $203K for Sagemaker alone. That represents a 3% discount for having both skills.
The most common roles requiring both Azure and Sagemaker are: AI/ML Engineer, Data Scientist, AI Architect, AI Software Engineer. 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 82 job postings that list both Azure 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.
