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Rag + Semantic Kernel Jobs in 2026

Rag and Semantic Kernel frequently appear together in AI job postings, with 98 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $188K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

98
Job Count
$127K
Avg Min Salary
$188K
Avg Max Salary
AI/ML Engineer
Most Common Role
Rag Jobs Semantic Kernel Jobs

Why Rag + Semantic Kernel?

AI job market dashboard showing open roles by category

Rag and Semantic Kernel appear together in 98 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 68 jobs
AI Software Engineer 14 jobs
AI Architect 5 jobs
Data Scientist 5 jobs
LLM Engineer 2 jobs
AI Agent Developer 2 jobs

Career Impact

Professionals who combine Rag and Semantic Kernel earn a median salary ceiling of $188K, compared to $214K for Rag alone and $189K 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 Rag + Semantic Kernel

U.S. Bank 4 jobs State Street 4 jobs Rocket 3 jobs LMI 2 jobs Capital One 2 jobs NTT DATA 2 jobs HCLTech 2 jobs Plymouth Rock Assurance 2 jobs

Salary Comparison: Combo vs Individual Skills

Rag Only
$214K
855 jobs
-12% vs combo
Rag + Semantic Kernel
$188K
98 jobs
Semantic Kernel Only
$189K
105 jobs
-1% vs combo

Related Skill Combinations

Python + Rag 595 Aws + Rag 421 Azure + Rag 402 Prompt Engineering + Rag 361 Langchain + Rag 284 Gcp + Rag 253 Openai + Rag 244 Claude + Rag 212

Frequently Asked Questions

Based on our analysis of current AI job postings, 98 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 $127K to $188K based on 66 postings with disclosed compensation.
Jobs requiring both Rag and Semantic Kernel pay $188K on average (max), compared to $214K for Rag alone and $189K for Semantic Kernel alone. That represents a 7% discount for having both skills.
The most common roles requiring both Rag and Semantic Kernel are: AI/ML Engineer, AI Software Engineer, AI Architect, Data Scientist. 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 98 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.