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Generative Ai Developer Jobs in Phoenix, AZ (NOW HIRING)

Gen AI Engineer II

Phoenix, AZ · On-site

$97K - $133K/yr

We are seeking a skilled and innovative Software Engineer to leverage GitHub Copilot and Generative AI capabilities to enhance software development workflows, improve productivity, and drive ...

Stay current with emerging trends in Machine Learning, Generative AI, Agentic AI, and MLOps ... Strong Python programming with frameworks such as PyTorch, TensorFlow, or scikit-learn * Hands-on ...

... 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 ...

Develop and deploy Large Language Model (LLM) and Generative AI applications that improve engineering productivity, accelerate troubleshooting, and enhance knowledge discovery. * Analyze large-scale ...

AI Solution Architect

Tempe, AZ · On-site

$60.25 - $79.50/hr

Mentor engineering teams and contribute to AI architecture standards. * Support hiring and talent development for emerging AI roles. Required Qualifications * 2+ years architecting Generative AI ...

AI Engineer

Phoenix, AZ · On-site

$110K - $125K/yr

... Generative AI. • Drive discovery sprints and AI ideation efforts • Stay abreast of broad AI ... Full stack developer, Strong azure & cloud knowledge and Built applications using AI Salary Range ...

AI Engineering Leader

Tempe, AZ · On-site

$98K - $129K/yr

... Generative AI, Agentic systems, and production-grade AI platforms. This role i not a pure ... DevOps & CI/CD Design and implement CI/CD pipelines using GitHub Actions Integrate AI workflows ...

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Generative Ai Developer information

See Phoenix, AZ salary details

$18

$44

$100

How much do generative ai developer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for generative ai developer in Phoenix, AZ is $44.97, according to ZipRecruiter salary data. Most workers in this role earn between $23.41 and $54.42 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.
What are popular job titles related to Generative Ai Developer jobs in Phoenix, AZ? For Generative Ai Developer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Phoenix, AZ look for? The top searched job categories for Generative Ai Developer jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Generative Ai Developer jobs? Cities near Phoenix, AZ with the most Generative Ai Developer job openings:
Infographic showing various Generative Ai Developer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $93,532 per year, or $45 per hour.

Java Developer with GenAI Copilot

Accord Technologies Inc.

Phoenix, AZ • On-site

$50.75 - $65.50/hr

Contractor

Re-posted 17 days ago


Job description

JR1034425
Java Developer with GenAI Copilot 
Location: Phoenix, AZ / Dallas, TX (Need Onsite day 1, hybrid 3 days from office)
.
Duration: 12 months

 
 
Job Description: 

We are seeking a highly experienced Senior Java Developer with a strong background in Generative AI and expertise in using GitHub Copilot to join our innovative team. The ideal candidate will possess over 10 years of experience in software development, with a proven track record of designing and implementing complex applications. Candidate will lead projects that leverage Generative AI technologies to enhance the software solutions and drive efficiency across development processes.

 
Responsibilities:
  • Lead the design, development, and deployment of Java-based applications incorporating Generative AI solutions.
  • Leverage GitHub Copilot to improve development speed and code quality, serving as a mentor for team members on best practices.
  • Collaborate with data scientists and AI engineers to integrate AI models and algorithms into software applications.
  • Architect and implement scalable microservices and RESTful APIs aligned with business requirements.
  • Ensure the performance, security, and reliability of applications throughout their lifecycle.
  • Conduct code reviews, providing constructive feedback and guidance to junior developers.
  • Stay abreast of emerging technologies and trends in AI and software development to drive innovation.
  • Collaborate with cross-functional teams to define project scope, objectives, and deliverables.
Requirements:
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
  • Minimum of 10 years of proven experience as a Java Developer with a strong portfolio of successful projects.
  • Extensive experience with Generative AI concepts, frameworks, and applications.
  • Proficiency in utilizing GitHub Copilot and other AI-assisted development tools to optimize coding processes.
  • Deep understanding of the Spring Framework, Hibernate, and other Java technologies.
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their AI services.
  • Experience with database design, management, and SQL (MySQL, PostgreSQL, etc.).
  • Exceptional problem-solving skills, attention to detail, and a commitment to quality.
  • Strong communication, leadership, and mentorship abilities.
 
Preferred, but not required:
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
  • Knowledge of front-end technologies (HTML, CSS, JavaScript) is a plus.