Azure and Gemini frequently appear together in AI job postings, with 607 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $207K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Deploying LLM applications in production requires both Gemini expertise and Azure infrastructure skills. Azure provides the compute, scaling, and serving layer, while Gemini handles the AI application logic. The 607 roles listing both reflect the growing need for engineers who can bridge AI development and cloud operations.
Top Roles Requiring Azure + Gemini
AI/ML Engineer438 jobs
Data Engineer157 jobs
AI Software Engineer4 jobs
AI Architect2 jobs
MLOps Engineer2 jobs
Data Scientist2 jobs
Career Impact
Professionals who combine Azure and Gemini earn a median salary ceiling of
$207K, compared to $239K for Azure alone and
$216K for Gemini alone. This 9% 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.
Based on our analysis of current AI job postings, 607 positions require both Azure and Gemini skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Azure and Gemini pay an average of $111K to $207K based on 560 postings with disclosed compensation.
Jobs requiring both Azure and Gemini pay $207K on average (max), compared to $239K for Azure alone and $216K for Gemini alone. That represents a 9% discount for having both skills.
The most common roles requiring both Azure and Gemini are: AI/ML Engineer, Data Engineer, AI Software Engineer, AI Architect. 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 607 job postings that list both Azure and Gemini
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.