Gemini and Semantic Kernel frequently appear together in AI job postings, with 52 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $179K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Gemini and Semantic Kernel appear together in 52 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 + Semantic Kernel
AI/ML Engineer50 jobs
AI Software Engineer2 jobs
Career Impact
Professionals who combine Gemini and Semantic Kernel earn a median salary ceiling of
$179K, compared to $216K for Gemini alone and
$191K for Semantic Kernel alone. This 12% 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, 52 positions require both Gemini and Semantic Kernel skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Gemini and Semantic Kernel pay an average of $99K to $179K based on 44 postings with disclosed compensation.
Jobs requiring both Gemini and Semantic Kernel pay $179K on average (max), compared to $216K for Gemini alone and $191K for Semantic Kernel alone. That represents a 12% discount for having both skills.
The most common roles requiring both Gemini and Semantic Kernel are: AI/ML Engineer, AI Software Engineer. 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 52 job postings that list both Gemini and Semantic Kernel
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.
