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Generative Ai Analyst Jobs in Arizona (NOW HIRING)

... • Analyze user stories and use cases to ensure accurate understanding for production-ready ... Design, develop, and deploy generative AI models for various applications, such as text generation ...

AI Engineer

Phoenix, AZ · On-site

$120 - $165/hr

... generative AI and agentic AI.Members of the STG unit play a strategic role in shaping technology ... Analyze user stories and use cases to ensure accurate understanding for production-ready delivery.

New

AI Engineer

Mesa, AZ · On-site

$65K/yr

... analytics and intelligent automation across the organization. Key Responsibilities • Build, train, and deploy machine learning and deep learning models, including Generative AI (e.g., LLMs ...

The platform combines Generative AI, enterprise integrations, backend services, and workflow ... error analysis. Qualifications Need to Have * 5+ years of experience in backend or platform ...

The platform combines Generative AI, enterprise integrations, backend services, and workflow ... error analysis. Qualifications Need to Have * 5+ years of experience in backend or platform ...

The platform combines Generative AI, enterprise integrations, backend services, and workflow ... error analysis. Qualifications Need to Have * 5+ years of experience in backend or platform ...

The platform combines Generative AI, enterprise integrations, backend services, and workflow ... error analysis. Qualifications Need to Have * 5+ years of experience in backend or platform ...

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... The analysis and alleviation of ethical flaws in generative models, including techniques for ...

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... The analysis and alleviation of ethical flaws in generative models, including techniques for ...

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... The analysis and alleviation of ethical flaws in generative models, including techniques for ...

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... The analysis and alleviation of ethical flaws in generative models, including techniques for ...

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... The analysis and alleviation of ethical flaws in generative models, including techniques for ...

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... The analysis and alleviation of ethical flaws in generative models, including techniques for ...

AI Architect

Phoenix, AZ · On-site

$62.50 - $82.50/hr

Strong experience with Generative AI / LLMs , including OpenAI, Azure OpenAI, or similar ... Strong problem-solving and analytical skills with the ability to translate complex business ...

Showing results 21-40

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 19, 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:

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.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Job details
Job Role
Specialist Programmer
Career Role
Specialist Programmer
Work Location
Phoenix, AZ, Raleigh, NC, Richardson, TX
State / Region / Province
Arizona, North Carolina, Texas
Country
USA
Domain
Delivery
Interest Group
Infosys Limited
Company
ITL USA
Requisition ID
151803BR
Technical Skills 1
Technology|OpenSystem|Python - OpenSystem
Technical Skills 2
Technology|Agentic AI|Agent Engineering
Technical Skills 3
Technology|AI Hyperscalers|AWS Agentic AI Services
Technical Skills 4
Technology|Machine Learning|Generative AI
Technical Skills 5
Technology|DevOps|Continuous delivery - Continuous deployment and release
Overview
The Strategic Technology Group (STG) unit at Infosys is designed for power programmers and senior technologists who want to go beyond traditional development roles and take on complex, large-scale technology challenges.The STG unit brings together Specialist Programmers, Senior Technologists, and Technical Leaders who possess deep expertise across software design and development, cloud-native architectures, enterprise platforms, data engineering, and emerging technologies, including generative AI and agentic AI.Members of the STG unit play a strategic role in shaping technology direction, solving complex business challenges, and delivering resilient, high-quality outcomes. They are expected to demonstrate strong technical depth, sound architectural judgment, and hands-on leadership, while mentoring teams and influencing best practices across programs.The STG unit emphasizes software development excellence, innovation, and continuous upskilling. It offers experienced talent the opportunity to work on transformational initiatives, engage closely with stakeholders, and grow as trusted technology leaders within Infosys' global delivery ecosystem.
In the assigned Job Role of Specialist Programmer, your Area Of Responsibility will be as below:
• Analyze user stories and use cases to ensure accurate understanding for production-ready delivery.
• Contribute to define design specifications and technology frameworks and assist in creation of reusable assets to enhance productivity and support complex technology projects.
• Deliver high-quality, optimized and efficient code across applications and databases, engage in debugging complex routines and build automation.
• Support the team to foster a robust technical environment and ensure error-free coding.
• Participation in knowledge transfer sessions and assist in utilizing reverse engineering methodologies to support the transition process.
• Assist in deploying solutions for future projects exploring new technologies through initial prototypes.
• Facilitate adoption of emerging technologies through POC initiatives aligned to business needs.
• Support in implementation of technical services to meet quality service (QoS) requirements
• Contribute to development of reusable assets with specific focus on productivity improvement and support resolution of critical production issues.
• Interface with customers during warranty support to ensure issues are fixed in a timely manner.
• Address technical issues during testing to ensure a reliable, production-ready codebase.
• Assist in mitigating risks by flagging them and support timely resolution in co-ordination with the team.
• Fix issues during testing phases to ensure error-free, clean releases.
Your contribution to the team:
A knack of designing and developing scalable, high-quality and optimized solutions that meet complex business needs. The ability to evaluate and adopt emerging technologies, translating them into practical prototypes and deployment-ready strategies. The ability to build reusable frameworks, automation scripts, and knowledge assets that enhance team productivity. Strong problem solving mindset to debug complex technical issues and deliver error-free and reliable outcomes. Commitment to quality, performance and risk management, ensuring resilient and efficient project delivery. Proactive collaboration with internal team and client to drive knowledge sharing, continuous improvement and innovation.
Required Skill and Experience
Experience in developing and applying generative AI models.
Strong understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP)
Proficiency in programming languages like Python and familiarity with deep learning frameworks like TensorFlow or PyTorch.
Design, develop, and deploy generative AI models for various applications, such as text generation, image creation, and code synthesis (depending on the specific focus of the company).
Fine-tune pre-trained LLMs for specific tasks and domains, ensuring optimal performance and alignment with business goals.
Manage the entire AI development lifecycle, from data pre-processing and model training to evaluation, optimization, and deployment.
Collaborate with data scientists, software engineers, and product managers to define project requirements, ensure technical feasibility, and integrate AI solutions seamlessly.
Stay up to date on the latest advancements in generative AI research and actively contribute to the continuous improvement of our AI capabilities.
Champion responsible AI development practices, focusing on bias mitigation, fairness, and explainability.
Preferred Skill and Experience
Experience in cloud-based platforms like OpenShift, AWS, GCP, Azure
Experience in Open-Source tools and technologies
Consistent score in Coding sites like Hackerrank, CodeChef etc.
Industry-acclaimed External Certifications, if applicable
Active participation in Technology forums
Contribution to Open-Source Community.
Effective collaboration and communication skills
Excellent problem-solving skills and a strong analytical mind.
Experience working in a collaborative and fast-paced environment.
Additional Required Qualifications
• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• All applicants authorized to work in the United States are encouraged to apply.
Benefits
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:
  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.