Genai Architect information
See Rochester, NY salary details
$45.9K - $59.8K
3% of jobs
$59.8K - $73.7K
4% of jobs
$73.7K - $87.6K
17% of jobs
$88.5K is the 25th percentile. Wages below this are outliers.
$87.6K - $101.5K
17% of jobs
The median wage is $112.9K / yr.
$101.5K - $115.4K
11% of jobs
$115.4K - $129.3K
4% of jobs
$129.3K - $143.2K
4% of jobs
$143.2K - $157.1K
3% of jobs
$161.9K is the 75th percentile. Wages above this are outliers.
$157.1K - $171.1K
33% of jobs
$171.1K - $185K
1% of jobs
$185K - $198.9K
2% of jobs
How much do genai architect jobs pay per year?
As of Aug 16, 2026, the average yearly pay for genai architect in Rochester, NY is $127,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,800.00 and $163,800.00 per year, depending on experience, location, and employer.
To thrive as a GenAI Architect, you need deep expertise in artificial intelligence, machine learning, and large language models, typically supported by a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow, PyTorch), cloud platforms (AWS, Azure, GCP), and MLOps tools, along with certifications in AI or cloud architecture, are highly valuable. Strong problem-solving skills, strategic thinking, and the ability to communicate complex concepts to diverse stakeholders set top candidates apart. These skills are essential for designing scalable, effective GenAI solutions that align with business goals and drive innovation.
A GenAI Architect is a professional who designs, develops, and oversees the implementation of generative AI solutions within an organization. They are responsible for creating system architectures that leverage advanced machine learning models, such as large language models, to solve business problems and improve processes. GenAI Architects work closely with data scientists, engineers, and stakeholders to ensure AI systems are scalable, secure, and aligned with business objectives. Their role often includes evaluating new technologies, setting best practices, and ensuring compliance with ethical and regulatory standards.
A GenAI Architect works closely with data scientists, software engineers, product managers, and sometimes business stakeholders to design, implement, and refine generative AI systems. Collaboration often involves translating business requirements into technical solutions, selecting appropriate models and frameworks, and ensuring integration with existing platforms. Regular meetings, design reviews, and joint problem-solving sessions are common, as the architect must ensure alignment on project goals, timelines, and resource needs. This collaborative approach helps deliver robust, scalable, and responsible AI solutions that meet organizational objectives.
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