Azure + Gemini Jobs in 2026

Azure and Gemini frequently appear together in AI job postings, with 76 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $187K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

76
Job Count
$126K
Avg Min Salary
$187K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why Azure + Gemini?

AI job market dashboard showing open roles by category

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 76 roles listing both reflect the growing need for engineers who can bridge AI development and cloud operations.

Top Roles Requiring Azure + Gemini

AI/ML Engineer 56 jobs
AI Software Engineer 9 jobs
AI Architect 6 jobs
Data Scientist 2 jobs
AI Product Manager 1 jobs
AI Consultant 1 jobs

Career Impact

Professionals who combine Azure and Gemini earn a median salary ceiling of $187K, compared to $203K for Azure alone and $197K for Gemini alone. This 7% 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 Azure + Gemini

Salary Comparison: Combo vs Individual Skills

Azure Only
$203K
877 jobs
-8% vs combo
Azure + Gemini
$187K
76 jobs
Gemini Only
$197K
212 jobs
-5% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 76 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 $126K to $187K based on 53 postings with disclosed compensation.
Jobs requiring both Azure and Gemini pay $187K on average (max), compared to $203K for Azure alone and $197K for Gemini alone. That represents a 7% discount for having both skills.
The most common roles requiring both Azure and Gemini are: AI/ML Engineer, AI Software Engineer, AI Architect, Data 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 76 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.