Kubernetes and Semantic Kernel frequently appear together in AI job postings, with 31 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $183K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Kubernetes and Semantic Kernel appear together in 31 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 Kubernetes + Semantic Kernel
AI/ML Engineer22 jobs
AI Software Engineer7 jobs
LLM Engineer1 jobs
AI Architect1 jobs
Career Impact
Professionals who combine Kubernetes and Semantic Kernel earn a median salary ceiling of
$183K, compared to $220K for Kubernetes alone and
$189K for Semantic Kernel alone. This 10% 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 Kubernetes + Semantic Kernel
Based on our analysis of current AI job postings, 31 positions require both Kubernetes and Semantic Kernel skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Kubernetes and Semantic Kernel pay an average of $126K to $183K based on 19 postings with disclosed compensation.
Jobs requiring both Kubernetes and Semantic Kernel pay $183K on average (max), compared to $220K for Kubernetes alone and $189K for Semantic Kernel alone. That represents a 10% discount for having both skills.
The most common roles requiring both Kubernetes and Semantic Kernel 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 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 31 job postings that list both Kubernetes 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.
