Semantic Kernel and Vector Search frequently appear together in AI job postings, with 17 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $147K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Semantic Kernel and Vector Search appear together in 17 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 Semantic Kernel + Vector Search
AI/ML Engineer13 jobs
AI Software Engineer2 jobs
LLM Engineer1 jobs
AI Architect1 jobs
Career Impact
Professionals who combine Semantic Kernel and Vector Search earn a median salary ceiling of
$147K, compared to $191K for Semantic Kernel alone and
$212K for Vector Search alone. This 27% 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 Semantic Kernel + Vector Search
Based on our analysis of current AI job postings, 17 positions require both Semantic Kernel and Vector Search skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Semantic Kernel and Vector Search pay an average of $102K to $147K based on 8 postings with disclosed compensation.
Jobs requiring both Semantic Kernel and Vector Search pay $147K on average (max), compared to $191K for Semantic Kernel alone and $212K for Vector Search alone. That represents a 27% discount for having both skills.
The most common roles requiring both Semantic Kernel and Vector Search are: AI/ML Engineer, AI Software Engineer, LLM Engineer, AI Architect. 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 17 job postings that list both Semantic Kernel and Vector Search
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.
