1

Copilot Developer Jobs in Glendale, AZ (NOW HIRING)

Mainframe Developer

Phoenix, AZ · On-site

$48.75 - $62.50/hr

Mainframe Developer Required Skills5+ years of hands-on Mainframe Development experience.Strong ... Experience with GitHub Copilot, ChatGPT, or other GenAI development tools.Knowledge of Python or ...

Lead Salesforce Engineer

Phoenix, AZ · On-site

$55 - $73/hr

Utilize AI tools (e.g., Salesforce Einstein, Copilot, Agentforce, Data Cloud ) to accelerate ... Effective use of AI capabilities to improve developer productivity and solution quality * Reliable ...

Java Developer with Gen AI experience

Phoenix, AZ · On-site

$50.75 - $65.50/hr

Required : • Skilled Java Developer • Strong background in developing robust applications • Familiarity with Generative AI technologies • Experience with tools like GitHub Copilot • Passion ...

AI Engineer

Phoenix, AZ · On-site

$110K - $125K/yr

... Copilot based intelligent agents, low code/ no code automations, and AI assisted workflows using ... Full stack developer, Strong azure & cloud knowledge and Built applications using AI Salary Range ...

Java Full Stack Developer

Phoenix, AZ · On-site

$52.25 - $67.25/hr

... Copilot, Cursor, Devin) to drive developer productivity, code quality, and design efficiency in complex systems. * 2 plus years' Experience with core cloud application development * 5 plus years ...

Gen AI Engineer II

Phoenix, AZ · On-site

$97K - $133K/yr

Utilize GitHub Copilot to assist in writing, debugging, and optimizing code across various programming languages and frameworks. * Integrate Generative AI models into development workflows to ...

next page

Showing results 1-20

Copilot Developer information

See Glendale, AZ salary details

$16

$52

$81

How much do copilot developer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for copilot developer in Glendale, AZ is $52.54, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $64.28 per hour, depending on experience, location, and employer.

What is a Copilot Developer?

A Copilot Developer is a software professional who specializes in integrating, customizing, or developing solutions using AI-powered coding assistants, such as GitHub Copilot. Their role often includes enhancing developer workflows by leveraging these AI tools, contributing to codebases, and ensuring that AI-generated code meets quality and security standards. They may also provide feedback to improve Copilot's suggestions and help teams adopt AI-assisted development practices. Copilot Developers often have strong programming skills and a deep understanding of how to effectively collaborate with AI tools.

What are the key skills and qualifications needed to thrive as a Copilot Developer?

To thrive as a Copilot Developer, a strong background in software engineering, proficiency in languages such as Python, JavaScript, or TypeScript, and experience with AI/ML concepts are essential, often supported by a relevant degree. Familiarity with GitHub Copilot, code editors like Visual Studio Code, and cloud platforms such as Azure or AWS is typically required. Strong problem-solving abilities, effective communication, and a collaborative mindset help developers integrate AI tools into workflows and assist end-users. These skills ensure efficient, innovative solutions and maximize the impact of AI-powered code assistance in software development environments.

What are some common challenges Copilot Developers face when integrating AI-powered coding assistants into existing development workflows?

Copilot Developers often encounter challenges such as ensuring seamless integration of AI-assisted coding tools with a variety of development environments and version control systems. They must address concerns around code quality, security, and maintaining team coding standards, as AI-generated suggestions may not always align with best practices. Additionally, developers need to foster collaboration and trust within teams, encouraging effective use of Copilot without diminishing peer code reviews or knowledge sharing. Successful Copilot Developers proactively gather feedback from users and iterate on integration strategies to optimize productivity and code reliability.

What is the difference between Copilot Developer vs AI Software Engineer?

AspectCopilot DeveloperAI Software Engineer
Required CredentialsBachelor's in CS or related, coding skillsBachelor's or higher in CS, AI, or Data Science
Work EnvironmentSoftware development teams, tech companiesResearch labs, tech firms, startups
Industry UsageDeveloping AI-powered coding toolsDesigning and implementing AI models
Search & Comparison IntentFocus on coding automation toolsFocus on AI model development

While both roles involve AI and software development, a Copilot Developer primarily focuses on creating and improving AI coding assistants, whereas an AI Software Engineer designs and implements AI models across various applications. The roles overlap in skills but differ in their core objectives and work environments.

What job categories do people searching Copilot Developer jobs in Glendale, AZ look for?

The top searched job categories for Copilot Developer jobs in Glendale, AZ are:

What cities near Glendale, AZ are hiring for Copilot Developer jobs?

Cities near Glendale, AZ with the most Copilot Developer job openings:

Infographic showing various Copilot Developer job openings in Glendale, AZ as of August 2026, with employment types broken down into 69% Full Time, 17% Part Time, and 14% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $109,292 per year, or $52.5 per hour.

Java Developer with GenAI Copilot

Accord Technologies Inc.

Phoenix, AZ • On-site

$50.75 - $65.50/hr

Contractor

Re-posted 5 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.