Faiss and Semantic Kernel 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 $187K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Faiss and Semantic Kernel 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 Faiss + Semantic Kernel
AI/ML Engineer13 jobs
Data Scientist4 jobs
Career Impact
Professionals who combine Faiss and Semantic Kernel earn a median salary ceiling of
$187K, compared to $119K for Faiss alone and
$203K for Semantic Kernel alone. This 16% 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, 17 positions require both Faiss and Semantic Kernel skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Faiss and Semantic Kernel pay an average of $122K to $187K based on 12 postings with disclosed compensation.
Jobs requiring both Faiss and Semantic Kernel pay $187K on average (max), compared to $119K for Faiss alone and $203K for Semantic Kernel alone. That represents a 16% premium for having both skills.
The most common roles requiring both Faiss and Semantic Kernel are: AI/ML Engineer, Data Scientist. These positions typically involve building production AI systems that apply both technologies.
Data Source: Analysis based on 17,365 AI job postings collected and verified by AI 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 17 job postings that list both Faiss 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.
