Python and Semantic Kernel frequently appear together in AI job postings, with 88 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $191K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Python and Semantic Kernel appear together in 88 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 Python + Semantic Kernel
AI/ML Engineer61 jobs
AI Software Engineer15 jobs
Data Scientist5 jobs
AI Architect3 jobs
AI Agent Developer2 jobs
LLM Engineer1 jobs
Career Impact
Professionals who combine Python and Semantic Kernel earn a median salary ceiling of
$191K, compared to $210K for Python 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.
Based on our analysis of current AI job postings, 88 positions require both Python and Semantic Kernel skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Python and Semantic Kernel pay an average of $125K to $191K based on 60 postings with disclosed compensation.
Jobs requiring both Python and Semantic Kernel pay $191K on average (max), compared to $210K for Python alone and $189K for Semantic Kernel alone. That represents a 4% discount for having both skills.
The most common roles requiring both Python 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 88 job postings that list both Python 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.