Senior Azure Ai Engineer information
See Riverside, CA salary details
$62.1K - $73.8K
1% of jobs
$73.8K - $85.6K
3% of jobs
$85.6K - $97.4K
7% of jobs
$108.9K is the 25th percentile. Wages below this are outliers.
$97.4K - $109.1K
14% of jobs
$109.1K - $120.9K
17% of jobs
The median wage is $125.8K / yr.
$120.9K - $132.6K
19% of jobs
$132.6K - $144.4K
13% of jobs
$145.9K is the 75th percentile. Wages above this are outliers.
$144.4K - $156.2K
11% of jobs
$156.2K - $167.9K
7% of jobs
$167.9K - $179.7K
5% of jobs
$179.7K - $191.4K
3% of jobs
How much do senior azure ai engineer jobs pay per year?
As of Aug 19, 2026, the average yearly pay for senior azure ai engineer in Riverside, CA is $132,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $149,700.00 per year, depending on experience, location, and employer.
A Senior Azure AI Engineer is an experienced professional who designs, develops, and deploys artificial intelligence solutions using Microsoft Azure's cloud-based services. They work with tools like Azure Machine Learning, Cognitive Services, and AI infrastructure to build applications that leverage machine learning, natural language processing, computer vision, and more. Their role often involves collaborating with data scientists, software engineers, and business stakeholders to deliver scalable, secure, and effective AI-powered solutions. In addition to technical implementation, Senior Azure AI Engineers typically mentor junior team members and contribute to best practices within their organization.
To thrive as a Senior Azure AI Engineer, you need advanced expertise in machine learning, deep learning, and cloud computing, typically supported by a degree in computer science or a related field. Proficiency with Microsoft Azure AI services, Python or R programming, and certifications such as Microsoft Certified: Azure AI Engineer Associate are highly valued. Strong problem-solving, communication, and project management skills help drive innovation and lead cross-functional teams. These capabilities are essential for designing scalable AI solutions that meet business objectives and leverage the full potential of Azure’s platform.
As a Senior Azure AI Engineer, you will frequently work alongside data scientists to design, develop, and deploy machine learning models using Azure's AI services. Collaboration involves translating business requirements into robust AI solutions, optimizing model performance, and integrating these models into production systems. You will also partner with DevOps and cloud infrastructure teams to ensure scalable, secure, and maintainable deployments. Effective communication and a proactive approach to knowledge sharing are key, as you’ll often guide junior engineers and contribute to cross-functional project planning.
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