Llama and Semantic Kernel frequently appear together in AI job postings, with 44 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $202K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Llama and Semantic Kernel appear together in 44 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 Llama + Semantic Kernel
AI/ML Engineer33 jobs
AI Software Engineer10 jobs
Data Scientist1 jobs
Career Impact
Professionals who combine Llama and Semantic Kernel earn a median salary ceiling of
$202K, compared to $189K for Llama alone and
$191K for Semantic Kernel alone. This 6% 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, 44 positions require both Llama and Semantic Kernel skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Llama and Semantic Kernel pay an average of $125K to $202K based on 26 postings with disclosed compensation.
Jobs requiring both Llama and Semantic Kernel pay $202K on average (max), compared to $189K for Llama alone and $191K for Semantic Kernel alone. That represents a 6% premium for having both skills.
The most common roles requiring both Llama and Semantic Kernel are: AI/ML Engineer, AI Software Engineer, Data Scientist. 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 44 job postings that list both Llama 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.
