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Generative Ai Testing Jobs in Arizona (NOW HIRING)

Lorven Technologies

AI Solution Architect

Tempe, AZ · On-site

$60.25 - $79.50/hr

AI Solution Architect - Agentic & Generative AI Locations: Austin, Tx | Tempe, Az | Charlotte, NC ... Testing & evaluation * Deployment * Monitoring & observability * Risk controls & governance

Photon

AI Devs (Platform + BE)_Tempe,AZ

Anthem, AZ · On-site

The platform combines Generative AI, enterprise integrations, backend services, and workflow ... Contribute to CI/CD pipelines, automated testing, and engineering best practices. * Implement ...

Photon

AI Dev (Features + CHQ)_Tempe,AZ

Anthem, AZ

The platform combines Generative AI, enterprise integrations, backend services, and workflow ... Contribute to CI/CD pipelines, automated testing, and engineering best practices. * Implement ...

Photon

AI Dev (Features + CHQ)_Tempe,AZ

Anthem, AZ · On-site

The platform combines Generative AI, enterprise integrations, backend services, and workflow ... Contribute to CI/CD pipelines, automated testing, and engineering best practices. * Implement ...

Photon

AI Devs (Platform + BE)_Tempe,AZ

Anthem, AZ · On-site

The platform combines Generative AI, enterprise integrations, backend services, and workflow ... Contribute to CI/CD pipelines, automated testing, and engineering best practices. * Implement ...

JDA

Sr Gen AI Engineer

Scottsdale, AZ

$87K - $140K/yr

Stay current with the rapidly evolving generative AI landscape Our Current Technical Environment ... Knowledge of modern software development practices including CI/CD, testing, and version control

Photon

AI Developer (Features + CHQ)

Tempe, AZ

Work with Generative AI services, LLM APIs, semantic search, and workflow orchestration platforms ... Support debugging, monitoring, testing, and production issue resolution activities. Qualifications ...

Kasmo Global

Sr. Java Developer

Phoenix, AZ

$56.75 - $72.50/hr

You will leverage Generative AI tools like GitHub Copilot to enhance your coding efficiency and ... Testing: Write comprehensive unit and integration tests, utilizing AI tools to streamline testing ...

Ascend Learning

Principal AI Engineer

Gilbert, AZ · On-site +1

From testing to certification, Ascend Learning products are used by physicians, emergency medical ... Design and co-own the Generative AI/ML system and project architecture, frameworks, tools, and ...

Photon

AI Architect_Tempe,AZ

Anthem, AZ · On-site

The platform combines generative AI, workflow orchestration, enterprise integrations, and ... Ensure platform quality through testing, observability, monitoring, and production readiness ...

Photon

AI Architect_Tempe,AZ

Anthem, AZ · Remote

The platform combines generative AI, workflow orchestration, enterprise integrations, and ... Ensure platform quality through testing, observability, monitoring, and production readiness ...

Infosys

AI ML Engineer with LLM & AWS Integration

Tempe, AZ · On-site

$101K - $136K/yr

... Generative AI Technical Skills 2 Technology|Cloud Platform|Amazon Webservices Managed Services ... A passion for design and hands-on coding experience A proactive approach to testing ...

Photon

AI Dev (Features + CHQ)_Tempe,AZ

Phoenix, AZ · On-site

Work with Generative AI services, LLM APIs, semantic search, and workflow orchestration platforms ... Support debugging, monitoring, testing, and production issue resolution activities. Qualifications ...

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Generative Ai Testing information

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

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How much do AI testers get paid?

AI testers, involved in evaluating and validating generative AI models, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in machine learning and data analysis can earn higher wages.

Is AI testing a good career?

AI testing, including roles like Generative AI Testing, is a growing field with increasing demand for skills in machine learning, data analysis, and programming. It offers opportunities in tech companies, research labs, and startups, often requiring knowledge of AI frameworks and testing tools. The career can be stable and rewarding for those with technical expertise and an interest in AI development and quality assurance.

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

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or executive positions, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leading AI development projects, strategic planning, and overseeing AI teams in large organizations or tech companies.

How do I become an AI tester?

To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and model evaluation. Familiarity with AI development tools and testing frameworks, along with attention to detail, is essential for identifying issues in AI systems.

What is Generative AI Testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.
What are popular job titles related to Generative Ai Testing jobs in Arizona? For Generative Ai Testing jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Generative Ai Testing jobs in Arizona look for? The top searched job categories for Generative Ai Testing jobs in Arizona are:
Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Arizona as of June 2026, with employment types broken down into 10% Internship, 71% Full Time, 14% Part Time, and 5% Temporary. Highlights an 80% In-person, 5% Hybrid, and 15% Remote job distribution.

AI Solution Product / Program Manager

Purple Drive Technologies

Phoenix, AZ • On-site

Full-time

Posted 8 days ago

Job description

Overview:
Job Title: AI Solution Product / Program Manager
Location: Phoenix, AZ
Experience: 8-10 Years
Job Summary
We are seeking an experienced AI Solution Product / Program Manager to lead AI-driven product initiatives and governance programs across enterprise platforms. This role will focus on defining solution frameworks, driving AI/ML and Generative AI adoption, and partnering with cross-functional teams to deliver scalable, business-aligned AI capabilities.
The ideal candidate will combine strong product management expertise, technical acumen, stakeholder management, and AI strategy execution experience.
Key Responsibilities
  • Define and maintain governance frameworks, standards, policies, and processes for AI solution development and management
  • Lead large-scale AI and technology programs while establishing scalable operational processes
  • Partner with Product, Engineering, Design, Data Science, Risk, and Compliance teams to deliver AI-enabled solutions
  • Translate business problems into AI/ML and Generative AI product requirements
  • Drive AI use cases focused on improving business outcomes such as:
    • Conversion rates
    • Personalization
    • Decision speed
    • Customer acquisition performance
  • Define and manage:
    • KPIs
    • Experimentation strategies
    • A/B testing frameworks
    • Model performance metrics
  • Ensure Responsible AI practices and regulatory compliance across solutions
  • Embed monitoring, feedback loops, and performance tracking into AI product lifecycle management
  • Create leadership presentations, roadmap updates, and governance communications
  • Influence roadmap prioritization toward AI-native platform capabilities
Required Skills
  • 8-10 years of experience in:
    • Product Management
    • Solution Management
    • Program Management
  • Strong understanding of:
    • SDLC
    • API integrations
    • AI/ML and Generative AI solutions
  • Experience implementing governance frameworks and KPI tracking
  • Proven ability to lead large-scale enterprise programs
  • Strong analytical and problem-solving skills
  • Excellent communication, stakeholder management, and collaboration abilities
  • Ability to work effectively in fast-paced, ambiguous environments
Preferred Skills
  • Experience with Responsible AI governance and compliance frameworks
  • Exposure to experimentation platforms and AI performance monitoring
  • Background working with Data Science and Engineering teams on AI products
  • Experience in regulated enterprise environments

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