Gemini and Sagemaker frequently appear together in AI job postings, with 40 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $263K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Gemini and Sagemaker appear together in 40 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 Gemini + Sagemaker
AI/ML Engineer34 jobs
AI Architect2 jobs
AI Product Manager2 jobs
Data Scientist2 jobs
Career Impact
Professionals who combine Gemini and Sagemaker earn a median salary ceiling of
$263K, compared to $216K for Gemini alone and
$239K for Sagemaker alone. This 15% premium
reflects the market values the integration of these two skills. Employers pay more for candidates who can work across both rather than hiring separate specialists.
Based on our analysis of current AI job postings, 40 positions require both Gemini and Sagemaker skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Gemini and Sagemaker pay an average of $140K to $263K based on 33 postings with disclosed compensation.
Jobs requiring both Gemini and Sagemaker pay $263K on average (max), compared to $216K for Gemini alone and $239K for Sagemaker alone. That represents a 15% premium for having both skills.
The most common roles requiring both Gemini and Sagemaker are: AI/ML Engineer, AI Architect, AI Product Manager, Data Scientist. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 26,159 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of April 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 40 job postings that list both Gemini 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.