AWS and Fine-tuning frequently appear together in AI job postings, with 227 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $234K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Deploying LLM applications in production requires both Fine-tuning expertise and AWS infrastructure skills. AWS provides the compute, scaling, and serving layer, while Fine-tuning handles the AI application logic. The 227 roles listing both reflect the growing need for engineers who can bridge AI development and cloud operations.
Top Roles Requiring AWS + Fine-tuning
AI/ML Engineer60 jobs
AI Product Manager60 jobs
Research Scientist59 jobs
Prompt Engineer27 jobs
LLM Engineer7 jobs
Data Scientist6 jobs
Career Impact
Professionals who combine AWS and Fine-tuning earn a median salary ceiling of
$234K, compared to $231K for AWS alone and
$228K for Fine-tuning alone. This 2% 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, 227 positions require both AWS and Fine-tuning skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both AWS and Fine-tuning pay an average of $136K to $234K based on 194 postings with disclosed compensation.
Jobs requiring both AWS and Fine-tuning pay $234K on average (max), compared to $231K for AWS alone and $228K for Fine-tuning alone. That represents a 2% premium for having both skills.
The most common roles requiring both AWS and Fine-tuning are: AI/ML Engineer, AI Product Manager, Research Scientist, Prompt 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 227 job postings that list both AWS and Fine-tuning
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.
