Embeddings and Vector Search frequently appear together in AI job postings, with 148 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $211K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Embeddings and Vector Search appear together in 148 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 + Vector Search
AI/ML Engineer76 jobs
Data Engineer41 jobs
AI Software Engineer13 jobs
Data Scientist9 jobs
AI Architect8 jobs
AI Product Manager1 jobs
Career Impact
Professionals who combine Embeddings and Vector Search earn a median salary ceiling of
$211K, compared to $213K for Embeddings alone and
$212K for Vector Search alone. This 1% discount
reflects the salary ceiling is roughly equivalent whether you specialize in one skill or combine both, suggesting the market values either path equally.
Top Companies Hiring for Embeddings + Vector Search
Based on our analysis of current AI job postings, 148 positions require both Embeddings and Vector Search skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Embeddings and Vector Search pay an average of $125K to $211K based on 119 postings with disclosed compensation.
Jobs requiring both Embeddings and Vector Search pay $211K on average (max), compared to $213K for Embeddings alone and $212K for Vector Search alone. That represents a 1% discount for having both skills.
The most common roles requiring both Embeddings and Vector Search are: AI/ML Engineer, Data Engineer, AI Software Engineer, Data Scientist. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 26,159 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of April 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 148 job postings that list both Embeddings and Vector Search
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.
