GCP and Semantic Kernel frequently appear together in AI job postings, with 21 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $219K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
GCP and Semantic Kernel appear together in 21 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 GCP + Semantic Kernel
AI/ML Engineer15 jobs
Prompt Engineer4 jobs
AI Software Engineer2 jobs
Career Impact
Professionals who combine GCP and Semantic Kernel earn a median salary ceiling of
$219K, compared to $230K for GCP alone and
$163K for Semantic Kernel alone. This 11% 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, 21 positions require both GCP and Semantic Kernel skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both GCP and Semantic Kernel pay an average of $118K to $219K based on 17 postings with disclosed compensation.
Jobs requiring both GCP and Semantic Kernel pay $219K on average (max), compared to $230K for GCP alone and $163K for Semantic Kernel alone. That represents a 11% premium for having both skills.
The most common roles requiring both GCP and Semantic Kernel are: AI/ML Engineer, Prompt Engineer, AI Software 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 21 job postings that list both GCP 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.
