Prompt Engineering and Semantic Kernel frequently appear together in AI job postings, with 54 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $182K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Prompt Engineering and Semantic Kernel appear together in 54 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 Engineer34 jobs
AI Software Engineer12 jobs
Data Scientist3 jobs
AI Architect2 jobs
AI Agent Developer2 jobs
LLM Engineer1 jobs
Career Impact
Professionals who combine Prompt Engineering and Semantic Kernel earn a median salary ceiling of
$182K, compared to $191K for Prompt Engineering alone and
$189K for Semantic Kernel alone. This 4% discount
reflects the salary ceiling is roughly equivalent whether you specialize in one skill or combine both, suggesting the market values either path equally.
Top Companies Hiring for Prompt Engineering + Semantic Kernel
Based on our analysis of current AI job postings, 54 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 $182K based on 36 postings with disclosed compensation.
Jobs requiring both Prompt Engineering and Semantic Kernel pay $182K on average (max), compared to $191K for Prompt Engineering alone and $189K for Semantic Kernel alone. That represents a 4% discount for having both skills.
The most common roles requiring both Prompt Engineering and Semantic Kernel are: AI/ML Engineer, AI Software Engineer, Data Scientist, AI Architect. 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 54 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.
