Azure and Gemini frequently appear together in AI job postings, with 126 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 126 roles listing both reflect the growing need for engineers who can bridge AI development and cloud operations.
Top Roles Requiring Azure + Gemini
AI/ML Engineer115 jobs
AI Software Engineer6 jobs
Data Scientist4 jobs
AI Product Manager1 jobs
Career Impact
Professionals who combine Azure and Gemini earn a median salary ceiling of
$207K, compared to $209K for Azure alone and
$200K for Gemini alone. This 1% premium
reflects the salary ceiling is roughly equivalent whether you specialize in one skill or combine both, suggesting the market values either path equally.
Based on our analysis of current AI job postings, 126 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 $123K to $207K based on 47 postings with disclosed compensation.
Jobs requiring both Azure and Gemini pay $207K on average (max), compared to $209K for Azure alone and $200K for Gemini alone. That represents a 1% premium for having both skills.
The most common roles requiring both Azure and Gemini are: AI/ML Engineer, AI Software Engineer, Data Scientist, AI Product Manager. These positions typically involve building production AI systems that leverage both technologies.
Data Source: Analysis based on 16,778 AI job postings collected and verified by AI Market Pulse. Data reflects active job listings as of February 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.
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Skill co-occurrence data is derived from 126 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.
