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RAG + Semantic Kernel Jobs in 2026

RAG and Semantic Kernel frequently appear together in AI job postings, with 109 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $161K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

109
Job Count
$126K
Avg Min Salary
$161K
Avg Max Salary
AI/ML Engineer
Most Common Role
RAG Jobs Semantic Kernel Jobs

Why RAG + Semantic Kernel?

RAG and Semantic Kernel appear together in 109 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 RAG + Semantic Kernel

AI/ML Engineer 101 jobs
Prompt Engineer 5 jobs
AI Software Engineer 1 jobs
Data Engineer 1 jobs
Data Scientist 1 jobs

Career Impact

Professionals who combine RAG and Semantic Kernel earn a median salary ceiling of $161K, compared to $224K for RAG alone and $163K for Semantic Kernel alone. This 17% 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 RAG + Semantic Kernel

Accenture 82 jobs PwC 11 jobs LucyRx 1 jobs Allstate Insurance 1 jobs Quinn Residences 1 jobs S R International Inc 1 jobs Main Sail, LLC 1 jobs eBusiness Solutions Inc. 1 jobs

Salary Comparison: Combo vs Individual Skills

RAG Only
$224K
1,466 jobs
-28% vs combo
RAG + Semantic Kernel
$161K
109 jobs
Semantic Kernel Only
$163K
113 jobs
-1% vs combo

Related Skill Combinations

Python + RAG 985 AWS + RAG 845 RAG + Rust 623 AI Agents + RAG 529 Azure + RAG 441 GCP + RAG 358 Prompt Engineering + RAG 347 Fine-tuning + RAG 287

Frequently Asked Questions

Based on our analysis of current AI job postings, 109 positions require both RAG and Semantic Kernel skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both RAG and Semantic Kernel pay an average of $126K to $161K based on 102 postings with disclosed compensation.
Jobs requiring both RAG and Semantic Kernel pay $161K on average (max), compared to $224K for RAG alone and $163K for Semantic Kernel alone. That represents a 17% discount for having both skills.
The most common roles requiring both RAG 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 109 job postings that list both RAG 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.