Embeddings + Kubernetes Jobs in 2026

Embeddings and Kubernetes frequently appear together in AI job postings, with 50 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $184K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

50
Job Count
$129K
Avg Min Salary
$184K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why Embeddings + Kubernetes?

AI job market dashboard showing open roles by category

Embeddings and Kubernetes appear together in 50 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 Embeddings + Kubernetes

AI/ML Engineer 30 jobs
AI Software Engineer 13 jobs
Data Scientist 3 jobs
AI Agent Developer 2 jobs
LLM Engineer 1 jobs
AI Product Manager 1 jobs

Career Impact

Professionals who combine Embeddings and Kubernetes earn a median salary ceiling of $184K, compared to $200K for Embeddings alone and $220K for Kubernetes alone. This 12% 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 Embeddings + Kubernetes

Salary Comparison: Combo vs Individual Skills

Embeddings Only
$200K
219 jobs
-8% vs combo
Embeddings + Kubernetes
$184K
50 jobs
Kubernetes Only
$220K
441 jobs
-16% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 50 positions require both Embeddings and Kubernetes skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Embeddings and Kubernetes pay an average of $129K to $184K based on 32 postings with disclosed compensation.
Jobs requiring both Embeddings and Kubernetes pay $184K on average (max), compared to $200K for Embeddings alone and $220K for Kubernetes alone. That represents a 12% discount for having both skills.
The most common roles requiring both Embeddings and Kubernetes are: AI/ML Engineer, AI Software Engineer, Data Scientist, AI Agent Developer. 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 50 job postings that list both Embeddings and Kubernetes 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.