Prompt Engineering and Semantic Kernel frequently appear together in AI job postings, with 101 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $158K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Prompt Engineering and Semantic Kernel appear together in 101 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 Prompt Engineering + Semantic Kernel
AI/ML Engineer95 jobs
Prompt Engineer5 jobs
AI Software Engineer1 jobs
Career Impact
Professionals who combine Prompt Engineering and Semantic Kernel earn a median salary ceiling of
$158K, compared to $210K for Prompt Engineering alone and
$163K for Semantic Kernel alone. This 15% 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.
Top Companies Hiring for Prompt Engineering + Semantic Kernel
Based on our analysis of current AI job postings, 101 positions require both Prompt Engineering and Semantic Kernel skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Prompt Engineering and Semantic Kernel pay an average of $125K to $158K based on 95 postings with disclosed compensation.
Jobs requiring both Prompt Engineering and Semantic Kernel pay $158K on average (max), compared to $210K for Prompt Engineering alone and $163K for Semantic Kernel alone. That represents a 15% discount for having both skills.
The most common roles requiring both Prompt Engineering 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 101 job postings that list both Prompt Engineering 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.
