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Generative Ai Developer Jobs in Arizona (NOW HIRING)

Stantec

Generative AI Developer

Phoenix, AZ · On-site

Stantec is a company dedicated to creating a caring culture where everyone can thrive, seeking a Generative AI Developer to enhance their Digital Center of Excellence. This role involves designing ...

Stantec

Generative AI Developer

Phoenix, AZ · On-site

$104K - $152K/yr

Your Opportunity We are seeking a GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and agentic AI systems within Stantec's Digital Center of Excellence ...

Photon

AI Dev (Features + CHQ)_Tempe,AZ

Anthem, AZ

The platform combines Generative AI, enterprise integrations, backend services, and workflow automation to improve operational efficiency and employee productivity. The AI Developer will be ...

Photon

AI Devs (Platform + BE)_Tempe,AZ

Anthem, AZ · On-site

The platform combines Generative AI, enterprise integrations, backend services, and workflow automation to improve operational efficiency and employee productivity. The AI Developer will be ...

Photon

AI Devs (Platform + BE)_Tempe,AZ

Anthem, AZ

The platform combines Generative AI, enterprise integrations, backend services, and workflow automation to improve operational efficiency and employee productivity. The AI Developer will be ...

Photon

AI Dev (Features + CHQ)_Tempe,AZ

Anthem, AZ · On-site

The platform combines Generative AI, enterprise integrations, backend services, and workflow automation to improve operational efficiency and employee productivity. The AI Developer will be ...

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Generative Ai Developer information

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$17

$42

$94

How much do generative ai developer jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for generative ai developer in Arizona is $42.20, according to ZipRecruiter salary data. Most workers in this role earn between $21.97 and $51.06 per hour, depending on experience, location, and employer.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

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

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
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Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Arizona as of July 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $87,783 per year, or $42.2 per hour.

Generative AI Developer

Stantec

Phoenix, AZ • On-site

Full-time

Re-posted 3 days ago

Stantec rating

8.5

Company rating: 8.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

112th of 440 rated engineering

Job description

Job Summary:
Stantec is a company dedicated to creating a caring culture where everyone can thrive, seeking a Generative AI Developer to enhance their Digital Center of Excellence. This role involves designing and deploying generative AI solutions, collaborating with various teams to ensure the solutions are scalable, secure, and compliant with governance principles.
Responsibilities:
• Design, build, and deploy end-to-end GenAI solutions and agentic solutions, including model lifecycle management, evaluation, deployment, and monitoring.
• Partner with ML/AI leads and engineering teams to integrate LLMs, autonomous agents, and GenAI services into existing and new solution pipelines.
• Review and advise on infrastructure approaches, including containerization, orchestration, and infrastructure-as-code to ensure scalability, security, and operational readiness.
• Collaborate with product owners, engineering, security, and data teams to design solutions that meet functional and non-functional requirements (performance, reliability, compliance, and cost).
• Establish and enforce governance for model usage, prompt and tool management, safety controls, data handling, and lifecycle management.
• Design integrations with enterprise data platforms, knowledge sources, and APIs, ensuring appropriate access controls and auditability.
• Document architectural patterns, methodologies, and lessons learned.
• Evaluate emerging GenAI technologies and recommend adoption strategies based on business value and risk.
• Stay current with emerging research, tools, and frameworks in Generative AI, Agentic AI, and multi-agent systems.
• Design, build, and deploy agentic solutions using Microsoft Copilot Studio, including configuration of topics, actions, integrations, and orchestration logic.
Qualifications:
Required:
• Strong background in designing and delivering modern cloud solutions, APIs, and data/AI platforms.
• Demonstrated knowledge and hands-on experience in building custom AI agents, including development using platforms such as Azure AI Foundry and Microsoft Copilot Studio.
• Familiarity with security, privacy, and governance practices for enterprise AI solutions.
• Ability to communicate complex concepts clearly to technical and non-technical audiences, influencing stakeholders through architecture guidance.
• Experience partnering across disciplines in agile delivery environments.
• Understanding application deployment, hosting, and scaling within Azure.
• Master’s degree or higher degree in Computer Science, Engineering, or related field (or equivalent experience).
• 5+ years of professional experience in AI/ML solution delivery, with recent hands-on GenAI solution experience.
• Experience deploying AI/GenAI solutions in Azure environments, including familiarity with Azure AI Foundry.
Preferred:
• Experience developing AI agents in Microsoft Copilot Studio is highly preferred.
Company:
Stantec is a professional services company that provides engineering, architecture, design, and consulting services. Founded in 1954, the company is headquartered in Edmonton, CAN, with a team of 10001+ employees. The company is currently Late Stage.

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