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Generative Ai Analyst Jobs in San Ramon, CA (NOW HIRING)

Inherent Technologies

AI Architect

San Jose, CA · On-site

This role focuses on creating advanced AI applications, including Generative AI systems like chatbots, data retrieval platforms, and analytics tools. The ideal candidate will bring expertise in a ...

Avathon

Senior AI Engineer

Pleasanton, CA · On-site

$116K - $159K/yr

Responsibilities : • Design, develop, and deploy machine learning and Generative AI solutions to ... Avathon is an AI technology startup operating a machine learning software to analyze increasingly ...

Vivodyne

AI Senior Scientist

San Francisco, CA · Hybrid

... analytics pipelines. * Domain & Technical Growth - Remain current with the latest research trends in Generative AI, biomedical imaging, cloud computing, and data-intensive training. Proactively share ...

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All JobsGenerative Ai Analyst JobsGenerative Ai Analyst Jobs in San Ramon, CA

Generative Ai Analyst information

See San Ramon, CA salary details

$54.8K

$99K

$138K

How much do generative ai analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for generative ai analyst in San Ramon, CA is $98,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $111,200.00 per year, depending on experience, location, and employer.

What is a generative AI analyst?

A Generative AI Analyst is a professional who specializes in analyzing, designing, and optimizing systems that use generative artificial intelligence models, such as large language models or image generators. Their work involves understanding how these AI models are developed, deployed, and utilized across various applications. They assess data quality, monitor model outputs, evaluate performance, and help improve the effectiveness and ethical use of generative AI technologies. Generative AI Analysts may also provide insights to organizations on best practices, risk management, and innovation opportunities related to AI. Their expertise bridges the gap between data science, AI development, and business strategy.

What are the key skills and qualifications needed to thrive as a generative AI analyst?

To thrive as a Generative AI Analyst, you need a solid background in data science, machine learning, and statistics, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, and experience with large language models or generative adversarial networks (GANs) is typically required. Strong analytical thinking, creativity, and effective communication skills help you interpret complex data and present insights to stakeholders. These skills and qualities are crucial for developing innovative AI solutions, solving business challenges, and driving impactful results.

How does a generative AI analyst typically collaborate with data scientists and engineering teams?

A Generative AI Analyst frequently works alongside data scientists and engineering teams to interpret model outputs, assess data quality, and help translate business objectives into technical requirements. Collaboration usually involves regular meetings to review model performance, troubleshoot issues, and refine algorithms based on real-world feedback. Effective communication and a shared understanding of both AI concepts and business goals are essential, as the analyst often serves as a bridge between technical teams and stakeholders. This collaborative environment fosters continuous learning and innovation, making teamwork a core aspect of the role.

What is the difference between Generative Ai Analyst vs Data Scientist?

AspectGenerative Ai AnalystData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; certifications in AI/MLBachelor's/Master's in CS, Statistics, or related fields; advanced certifications
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Employer & Industry UsageFocus on developing and refining generative AI modelsAnalyze data, build predictive models, derive insights
Common Search & Comparison IntentUnderstanding roles in AI developmentData analysis and modeling skills

While both roles require strong technical skills and knowledge of AI and data analysis, a Generative Ai Analyst specializes in creating and optimizing generative AI models, whereas a Data Scientist focuses on analyzing data to inform business decisions. The roles often overlap but differ in their primary focus and application within organizations.

How much do generative AI analysts make?

Generative AI analysts typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can command higher salaries, often exceeding $150,000.

Is Generative AI a promising career?

Generative AI is a rapidly growing field with increasing demand for specialists such as Generative AI Analysts, who develop and refine AI models like GPT and DALL·E. Careers in this area often require skills in machine learning, programming, and data analysis, and offer opportunities across technology, healthcare, entertainment, and other industries. The field is expected to continue expanding as AI applications become more integrated into various sectors.

What are popular job titles related to Generative Ai Analyst jobs in San Ramon, CA?

For Generative Ai Analyst jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Generative Ai Analyst jobs in San Ramon, CA look for?

The top searched job categories for Generative Ai Analyst jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Generative Ai Analyst jobs?

Cities near San Ramon, CA with the most Generative Ai Analyst job openings:

Generative Ai Analyst jobs near you
Infographic showing various Generative Ai Analyst job openings in San Ramon, CA as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $98,977 per year, or $47.6 per hour.

AI Architect

Inherent Technologies

San Jose, CA • On-site

Other

Re-posted 28 days ago

Job description

Job Summary:
This role focuses on creating advanced AI applications, including Generative AI systems like chatbots, data retrieval platforms, and analytics tools. The ideal candidate will bring expertise in a robust understanding of AI/ML technologies, and the ability to seamlessly integrate on-premises infrastructure with Azure/AWS AI cloud services.

Key Responsibilities:

Collaborate with cross-functional teams to conceptualize, design, and implement AI-powered solutions.

Develop and maintain end-to-end software applications using Python and other modern frameworks.

Design and implement scalable APIs and backend services for Generative AI applications such as chatbots and data analytics platforms.

Build responsive and intuitive front-end interfaces using modern JavaScript frameworks (React, Angular, or Vue.js).

Develop and integrate machine learning models into applications, ensuring performance and scalability.

Leverage cloud platforms (Azure, AWS) to deploy AI models, ensuring secure and efficient integration with on-premises systems.

Drive the adoption of DevOps practices, including CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).

Ensure code quality and maintainability through unit testing, code reviews, and adherence to best practices.

Troubleshoot and resolve complex technical challenges in real-time AI applications.

Stay updated on emerging AI/ML and full-stack development trends to incorporate innovative solutions.

Qualifications:

Education: Bachelor's or master's degree in computer science, Software Engineering, or a related field.

Experience: Minimum 6 8 years of professional experience in full-stack development, with a focus on Python and AI/ML technologies.

Strong expertise in Python frameworks (Django, Flask, FastAPI) and front-end frameworks (React, Angular, Vue.js).

Hands-on experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face.

Proficiency in developing and deploying AI/ML models in cloud environments like Azure AI, AWS SageMaker, or Google AI Platform.

Deep understanding of integrating on-premises systems with cloud-based AI solutions.

Experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB).

Familiarity with containerization (Docker) and orchestration tools (Kubernetes).

Knowledge of CI/CD pipelines and infrastructure as code tools (Jenkins, Terraform, or Ansible).

Strong problem-solving skills and the ability to work in fast-paced, dynamic environments.

Preferred Skills:

Experience with Natural Language Processing (NLP) and Generative AI models like GPT, BERT, or similar.

Knowledge of big data tools like Apache Spark or Hadoop.

Familiarity with microservices architecture.

Certifications in cloud platforms (Azure, AWS) or AI/ML tools.