AWS + Semantic Kernel Jobs in 2026

AWS and Semantic Kernel frequently appear together in AI job postings, with 25 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $214K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

25
Job Count
$119K
Avg Min Salary
$214K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why AWS + Semantic Kernel?

AWS and Semantic Kernel appear together in 25 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 AWS + Semantic Kernel

AI/ML Engineer 17 jobs
Prompt Engineer 4 jobs
AI Software Engineer 3 jobs
Data Engineer 1 jobs

Career Impact

Professionals who combine AWS and Semantic Kernel earn a median salary ceiling of $214K, compared to $231K for AWS alone and $163K for Semantic Kernel alone. This 9% 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.

Top Companies Hiring for AWS + Semantic Kernel

Salary Comparison: Combo vs Individual Skills

AWS Only
$231K
1,123 jobs
-7% vs combo
AWS + Semantic Kernel
$214K
25 jobs
Semantic Kernel Only
$163K
113 jobs
+31% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 25 positions require both AWS and Semantic Kernel skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both AWS and Semantic Kernel pay an average of $119K to $214K based on 20 postings with disclosed compensation.
Jobs requiring both AWS and Semantic Kernel pay $214K on average (max), compared to $231K for AWS alone and $163K for Semantic Kernel alone. That represents a 9% premium for having both skills.
The most common roles requiring both AWS and Semantic Kernel are: AI/ML Engineer, Prompt Engineer, AI Software Engineer, Data Engineer. These positions typically involve building production AI systems that leverage both technologies.
Data Source: Analysis based on 1,969 AI job postings collected and verified by AI Market 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 25 job postings that list both AWS 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.