Gemini + Semantic Kernel Jobs in 2026

Gemini and Semantic Kernel frequently appear together in AI job postings, with 74 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.

74
Job Count
$109K
Avg Min Salary
$187K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why Gemini + Semantic Kernel?

Gemini and Semantic Kernel appear together in 74 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 Gemini + Semantic Kernel

AI/ML Engineer 74 jobs

Career Impact

Professionals who combine Gemini and Semantic Kernel earn a median salary ceiling of $187K, compared to $200K for Gemini alone and $203K for Semantic Kernel alone. This 7% 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 Gemini + Semantic Kernel

Salary Comparison: Combo vs Individual Skills

Gemini Only
$200K
269 jobs
-7% vs combo
Gemini + Semantic Kernel
$187K
74 jobs
Semantic Kernel Only
$203K
174 jobs
-8% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 74 positions require both Gemini and Semantic Kernel skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Gemini and Semantic Kernel pay an average of $109K to $187K based on 4 postings with disclosed compensation.
Jobs requiring both Gemini and Semantic Kernel pay $187K on average (max), compared to $200K for Gemini alone and $203K for Semantic Kernel alone. That represents a 7% discount for having both skills.
Data Source: Analysis based on 16,778 AI job postings collected and verified by AI Market Pulse. Data reflects active job listings as of February 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 74 job postings that list both Gemini 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.