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Generative Ai Analyst Jobs (NOW HIRING)

SAIC

AI Analyst - ServiceNow Now Assist

DC · Remote

$120K - $160K/yr

Generative AI technologies * AI governance principles * Data governance * Responsible AI practices ... Strong analytical, organizational, and communication skills * Ability to communicate effectively ...

Peraton

Generative AI Specialist / AI & ML Developer

$135K - $216K/yr

Research emerging generative AI techniques including multimodal models, synthetic data generation, and AI-assisted analysis for information operations. * Translate COCOM operational requirements into ...

SS&C Technologies

Key Responsibilities Generative AI & Prompt Engineering * Design, develop, and optimize ... Analyze structured and unstructured data for GenAI use cases * Translate business requirements into ...

Uncountable

Platform Engineer - Generative AI

New York, NY · On-site

$120K - $160K/yr

... and analyze experimental data. Uncountable's users are solving critical problems in materials ... Strong interest in Generative AI * Solid computer science and software engineering fundamentals ...

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Generative Ai Analyst information

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$49K

$88.6K

$123.5K

How much do generative ai analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for generative ai analyst in the United States is $88,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $99,500.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a Generative AI Analyst, and why are they important?

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 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.
More about Generative Ai Analyst jobs
What cities are hiring for Generative Ai Analyst jobs? Cities with the most Generative Ai Analyst job openings:
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What job categories do people searching Generative Ai Analyst jobs look for? The top searched job categories for Generative Ai Analyst jobs are:
Generative Ai Analyst jobs near you
Infographic showing various Generative Ai Analyst job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $88,569 per year, or $42.6 per hour.
Senior Product Manager - C3 Generative AI

Senior Product Manager - C3 Generative AI

C3 AI

Redwood City, CA • On-site

$165K - $228K/yr

Full-time

Posted 13 days ago

Job description

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI
C3 AI is seeking an experienced Senior Product Manager to lead the development and growth of our C3 Generative AI platform. As a Senior Product Manager, you will be responsible for driving product strategy, execution, and delivery, with a particular focus on the technical aspects of building and scaling AI solutions. This is a highly impactful role where you will work closely with engineering, data science, and customer-facing teams to bring innovative AI-driven products to market.
Responsibilities:
  • Lead the product lifecycle from ideation to delivery, ensuring alignment with business goals and technical feasibility.
  • Work closely with engineering and data science teams to define detailed product requirements and technical specifications for Generative AI solutions.
  • Translate customer and market needs into clear, actionable roadmaps and product features, balancing short-term priorities with long-term strategic vision.
  • Drive product development in collaboration with cross-functional teams, ensuring timely delivery of high-quality AI features and applications.
  • Conduct deep technical analysis of the AI/ML technologies that underpin the platform, influencing design decisions and product architecture.
  • Own the product's go-to-market strategy, working with marketing and sales to ensure successful product launches and adoption.
  • Collaborate with customer-facing teams to gather feedback and refine the product roadmap based on user needs, technical challenges, and market trends.
  • Manage stakeholder communications, including regular updates on progress, risks, and opportunities to senior leadership.
  • Monitor key product metrics and ensure alignment with performance goals, identifying opportunities for continuous improvement.

Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related technical field; advanced degree preferred.
  • 5+ years of product management experience in enterprise software, AI, or a related field, with a focus on technically complex products.
  • Strong understanding of AI/ML technologies, including experience with Generative AI, data pipelines, and model operationalization.
  • Proven experience working closely with engineering teams to deliver technically sound and scalable AI solutions.
  • Demonstrable ability to break down complex technical problems into user-friendly features and product experiences.
  • Strong analytical and problem-solving skills, with the ability to leverage data to drive product decisions.
  • Excellent communication skills, with the ability to translate technical concepts for non-technical audiences and influence senior stakeholders.
  • Experience managing full product lifecycles, from research and ideation to launch and iteration.
  • Ability to prioritize competing initiatives and manage timelines effectively in a fast-paced environment.

Candidates must be authorized to work in the United States without the need for current or future company sponsorship.
C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.
California Base Pay Range
$165,000-$228,000 USD
C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

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