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Generative Ai Analyst Jobs in Arizona (NOW HIRING)

Jobtailor

Product Engineer II

Phoenix, AZ · On-site

$120 - $180/hr

Design and maintain generative AI and retrieval-augmented generation solutions using enterprise ... Strong analytical, problem-solving, and troubleshooting skills * Experience working with Kore.ai ...

New

AURA

Principal AI Engineer

Tucson, AZ · On-site

$179K - $226K/yr

This position offers the rare opportunity to apply cutting-edge AI technologies-including machine learning, generative AI, large language models (LLMs), advanced analytics, and agentic systems-to ...

Mondo

Data Scientist II

Phoenix, AZ · On-site

$140K - $150K/yr

Data Scientist II, Generative AI Location/Type: Onsite, Phoenix, AZ - Must currently permanently ... Translate ambiguous business problems into scoped, production ready analytical approaches

New

Donato Technologies, Inc

AI Architect

Phoenix, AZ · On-site

$60 - $68/hr

Generative AI / LLMs (OpenAI, Azure OpenAI, etc.) * Expertise in application architecture and ... Strong problem-solving and analytical thinking * Excellent communication and stakeholder management

Tata Consultancy Service Limited

AI Engineer

Phoenix, AZ · On-site

$110K - $125K/yr

... Generative AI. • Drive discovery sprints and AI ideation efforts • Stay abreast of broad AI ... analysis, Artificial Intelligence & Robotics or a related study, or equivalent experience. • ...

Champions Funding LLC

Data Scientist

Gilbert, AZ · On-site

Apply modern artificial intelligence and machine learning techniques, including large language models (LLMs), generative AI, and advanced analytics, to automate processes, enhance decision-making ...

Aikitech, Inc.

Software Architect

Tempe, AZ · On-site

... through Generative AI technologies. They are seeking a dynamic Software Architect to lead the ... analysis and recommendations regarding new technologies to the team. Qualifications : Required ...

Perkins Coie LLP

Research Librarian

Phoenix, AZ · On-site

What You'll Do Research & Analysis * Delivers legal and business research with minimal supervision ... Leverages generative AI and emerging technologies in compliance with firm policies to enhance ...

BC Forward

Observability Operations Engineer

Phoenix, AZ · On-site

$50 - $60/hr

Generative AI tools such as ChatGPT, GitHub Copilot, Amazon Q, or Microsoft Copilot to improve operational efficiency. AI-assisted runbooks, incident summarization, log analysis, and automated ticket ...

Mondo

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

Data Scientist III (Generative AI) Location: Phoenix, AZ Start Date: ASAP Duration: Permanent ... This role drives internal data analytics projects ranging from short data explorations to long-term ...

Osaic

Quantitative Analyst I

Scottsdale, AZ · On-site

$57K - $63K/yr

Leverage approved generative AI tools (e.g., Microsoft Copilot, ChatGPT, Claude, and similar platforms) to enhance productivity in data analysis, documentation, research, coding, and reporting ...

Sprouts Farmers Market

Sr. Financial Analyst

Phoenix, AZ · On-site

$84K - $105K/yr

Experience leveraging Artificial Intelligence (AI), machine learning, predictive analytics, or generative AI tools to enhance or improve financial forecasting, scenario planning, reporting automation ...

Sprouts Farmers Market

Sr. Financial Analyst

Phoenix, AZ · On-site

$84K - $105K/yr

Experience leveraging Artificial Intelligence (AI), machine learning, predictive analytics, or generative AI tools to enhance or improve financial forecasting, scenario planning, reporting automation ...

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All JobsGenerative Ai Analyst JobsGenerative Ai Analyst Jobs in Arizona

Generative Ai Analyst information

See Arizona salary details

$45.7K

$82.5K

$115.1K

How much do generative ai analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for generative ai analyst in Arizona is $82,536.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $92,700.00 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 Arizona?

For Generative Ai Analyst jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Generative Ai Analyst jobs in Arizona look for?

The top searched job categories for Generative Ai Analyst jobs in Arizona are:

What cities in Arizona are hiring for Generative Ai Analyst jobs?

Cities in Arizona with the most Generative Ai Analyst job openings:

Generative Ai Analyst jobs near you
Infographic showing various Generative Ai Analyst job openings in Arizona as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 2% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $82,536 per year, or $39.7 per hour.

Product Engineer II

Jobtailor

Phoenix, AZ • On-site

$120 - $180/hr

Other

Posted 3 days ago

New

Job description

  • Design, develop, test, deploy, and optimize AI-powered solutions using Kore.ai and related technologies
  • Configure conversational workflows, business logic, integrations, and user experiences for customer and employee use cases
  • Partner with stakeholders to understand business challenges and translate requirements into AI-driven solutions
  • Participate in discovery, requirements clarification, use case definition, and solution design sessions
  • Develop and support integrations with contact center platforms, SharePoint, internal applications, APIs, and business systems
  • Design and maintain generative AI and retrieval-augmented generation solutions using enterprise knowledge sources and large language models
  • Apply prompt engineering techniques to improve answer quality, relevance, and user experience
  • Monitor adoption, performance, automation effectiveness, user satisfaction, and contact center metrics
  • Provide lifecycle ownership for deployed solutions, including production support, optimization, and continuous improvement
  • Participate in testing, release management, validation, and change coordination
  • Create and maintain technical documentation, solution designs, support materials, and knowledge articles
  • Support enterprise AI governance, security, compliance, and responsible AI practices
  • Collaborate with vendors, consultants, and internal technical teams to deliver or improve solutions
Requirements
  • Bachelor's Degree in Computer Science, Information Systems, Engineering, or a related field, or an equivalent combination of education and experience
  • 4-6 years of experience designing, developing, implementing, or supporting business technology solutions
  • Experience delivering AI-powered, conversational, automation, digital assistant, or business workflow solutions
  • Experience gathering and translating business requirements into functional technical solutions
  • Experience integrating applications using APIs, web services, and modern integration approaches
  • Experience supporting production solutions and driving continuous improvement after deployment
  • Understanding of conversational AI, virtual assistants, AI agents, or intelligent automation platforms
  • Working knowledge of REST APIs, JSON, workflow automation, and application integrations
  • Knowledge of Generative AI concepts, large language models, prompt engineering, and retrieval-augmented generation
  • Ability to configure, extend, troubleshoot, and optimize AI-powered business solutions
  • Strong analytical, problem-solving, and troubleshooting skills
  • Experience working with Kore.ai and/or Amazon Connect
  • Experience delivering AI-powered customer service, virtual assistant, or contact center solutions
  • Experience with contact center technologies, customer service operations, IVR, virtual agents, or conversational AI
  • Experience supporting enterprise-wide AI initiatives or business process automation programs
  • Experience working with SharePoint and enterprise knowledge management platforms
  • Familiarity with AI governance, responsible AI, and enterprise security considerations
  • Ability to understand business processes and identify opportunities for automation and optimization
  • Ability to balance business objectives, technical limitations, user experience, and operational support needs
  • Ability to work independently on assigned initiatives while collaborating effectively with cross-functional teams
  • IAC (CloudFormation/Terraform) experience
  • Experience with core AWS services, including S3, DynamoDB, Lambda, and CloudWatch
  • Hands-on experience with AI-assisted development tools such as GitHub Copilot, Claude Code, or Codex
  • AWS Certification is preferred
  • Kore.ai, Generative AI, or cloud platform certifications are preferred but not required
  • Position is not eligible for immigration sponsorship
Core Competencies

Demonstrates expertise in designing and implementing AI-powered solutions, particularly with Kore.ai and large language models, while ensuring compliance with AI governance and security standards. Proficient in integrating applications and optimizing user experiences through effective collaboration with stakeholders.

Highest-signal resume keywords
  • Kore.ai Solution Development
  • Generative AI Implementation
  • API Integration Experience
  • AI Governance Knowledge
  • Cloud Services Proficiency
ATS Optimization Keywords Hard Skills
  • AI-Powered Solutions Design
  • Conversational AI Development
  • Prompt Engineering Techniques
  • REST API Knowledge
  • Workflow Automation
  • Application Integration
  • Technical Documentation Creation
  • Continuous Improvement Practices
  • Troubleshooting and Optimization
  • Business Process Automation
Soft Skills
  • Analytical Skills
  • Problem-Solving Skills
  • Collaboration Skills
  • Communication Skills
  • Stakeholder Engagement
Certifications & Qualifications
  • AWS Certification
  • Kore.ai Certification
  • Generative AI Certification
Industry Keywords
  • AI Governance
  • Responsible AI
  • Conversational AI
  • Digital Assistant Solutions
  • Customer Service Automation
Tools & Technologies
  • Kore.ai
  • Amazon Connect
  • SharePoint
  • AWS Services
  • GitHub Copilot
  • CloudFormation
  • Terraform
  • JSON
  • IVR Technologies
  • Contact Center Platforms
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