Embeddings and Vector Search frequently appear together in AI job postings, with 57 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $164K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Embeddings and Vector Search appear together in 57 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 Engineer40 jobs
AI Software Engineer6 jobs
Data Engineer2 jobs
Research Scientist2 jobs
AI Architect2 jobs
LLM Engineer1 jobs
Career Impact
Professionals who combine Embeddings and Vector Search earn a median salary ceiling of
$164K, compared to $200K for Embeddings alone and
$187K for Vector Search alone. This 15% 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 + Vector Search
Based on our analysis of current AI job postings, 57 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 $114K to $164K based on 34 postings with disclosed compensation.
Jobs requiring both Embeddings and Vector Search pay $164K on average (max), compared to $200K for Embeddings alone and $187K for Vector Search alone. That represents a 15% discount for having both skills.
The most common roles requiring both Embeddings and Vector Search are: AI/ML Engineer, AI Software Engineer, Data Engineer, Research 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 57 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.
