AWS + Gemini Jobs in 2026

AWS and Gemini frequently appear together in AI job postings, with 24 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $210K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

24
Job Count
$148K
Avg Min Salary
$210K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why AWS + Gemini?

Deploying LLM applications in production requires both Gemini expertise and AWS infrastructure skills. AWS provides the compute, scaling, and serving layer, while Gemini handles the AI application logic. The 24 roles listing both reflect the growing need for engineers who can bridge AI development and cloud operations.

Top Roles Requiring AWS + Gemini

AI/ML Engineer 12 jobs
Prompt Engineer 5 jobs
Data Scientist 3 jobs
MLOps Engineer 2 jobs
Data Engineer 1 jobs
LLM Engineer 1 jobs

Career Impact

Professionals who combine AWS and Gemini earn a median salary ceiling of $210K, compared to $231K for AWS alone and $242K for Gemini alone. This 11% 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 AWS + Gemini

Salary Comparison: Combo vs Individual Skills

AWS Only
$231K
1,123 jobs
-9% vs combo
AWS + Gemini
$210K
24 jobs
Gemini Only
$242K
72 jobs
-13% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 24 positions require both AWS and Gemini skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both AWS and Gemini pay an average of $148K to $210K based on 14 postings with disclosed compensation.
Jobs requiring both AWS and Gemini pay $210K on average (max), compared to $231K for AWS alone and $242K for Gemini alone. That represents a 11% discount for having both skills.
The most common roles requiring both AWS and Gemini are: AI/ML Engineer, Prompt Engineer, Data Scientist, MLOps Engineer. These positions typically involve building production AI systems that leverage both technologies.
Data Source: Analysis based on 1,969 AI job postings collected and verified by AI Market Pulse. Data reflects active job listings as of March 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 24 job postings that list both AWS 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.