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Copilot Developer Jobs in Seattle, WA (NOW HIRING)

Integrate AI-driven solutions leveraging Azure AI Foundry, Copilot Studio, and Azure ML services. * Collaborate closely with product, data science, and DevOps teams to ensure seamless delivery of ...

Senior Service Engineer

Redmond, WA · On-site

$117K - $160K/yr

We are engineers, technology leaders and experts, digital transformation change agents, and ... Microsoft 365 Copilot admin controls, Copilot Studio governance, agent and connector permissions ...

Principal Software Engineer

Redmond, WA · On-site

$151K - $202K/yr

Overview Join Microsoft AI's Copilot Discover Engineering Team as a Principal Software Engineer, serving as a senior technical architect to play a central role in the technical direction and long ...

Senior Research Engineer - AI Security

Redmond, WA · On-site

$128K - $175K/yr

Overview The Copilot Security Engineering team is at the core of Microsoft's mission to deliver secured , trusted, human-centered AI experiences across the company's Copilot offerings. We design ...

Familiarity with M365 Copilot features or similar AI bot/agent development tools (e.g. Azure AI services, cognitive services). Programming Skills: Proficiency in at least one programming or scripting ...

Familiarity with M365 Copilot features or similar AI bot/agent development tools (e.g. Azure AI services, cognitive services). • Programming Skills: Proficiency in at least one programming or ...

AI & Automation Engineer

Seattle, WA · On-site

$90K - $120K/yr

Familiarity with M365 Copilot features or similar AI bot/agent development tools (e.g. Azure AI services, cognitive services). • Programming Skills: Proficiency in at least one programming or ...

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Copilot Developer information

See Seattle, WA salary details

$19

$60

$93

How much do copilot developer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for copilot developer in Seattle, WA is $60.13, according to ZipRecruiter salary data. Most workers in this role earn between $45.96 and $73.61 per hour, depending on experience, location, and employer.

Why is Copilot shutting down?

As a Copilot developer, if the tool is shutting down, it may be due to company decisions, product updates, or shifts in strategic focus. Such changes can affect availability, support, or development of the software, requiring developers to adapt to new tools or platforms. Staying informed through official channels is recommended for updates related to Copilot's status.

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as a senior AI researcher, machine learning engineer, or AI director, often requiring advanced skills in programming, data analysis, and deep learning. These roles may involve leading projects, developing innovative algorithms, and working with cutting-edge tools, and they usually demand extensive experience and specialized certifications.

What are the key skills and qualifications needed to thrive as a Copilot Developer, and why are they important?

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 does a Copilot developer do?

A Copilot developer designs, develops, and maintains AI-powered coding assistants that help programmers write code more efficiently. They work with machine learning models, integrate APIs, and optimize the tool's performance, often using programming languages like Python and tools such as GitHub Copilot. Strong knowledge of AI, software development, and collaboration with product teams are essential for this role.

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 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 salary of Copilot developer?

The salary of a Copilot developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Skilled developers with expertise in AI, machine learning, and cloud platforms may earn higher compensation, and roles often require proficiency in programming languages like Python or JavaScript.
What are popular job titles related to Copilot Developer jobs in Seattle, WA? For Copilot Developer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Copilot Developer jobs in Seattle, WA look for? The top searched job categories for Copilot Developer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Copilot Developer jobs? Cities near Seattle, WA with the most Copilot Developer job openings:
Senior Java Engineer (Full Stack with Copilot Agent Experience )@ Seattle, WA

Senior Java Engineer (Full Stack with Copilot Agent Experience )@ Seattle, WA

Palnar

Seattle, WA • On-site

$59.75 - $77/hr

Full-time

Posted 23 days ago


Job description

Job Role: Senior Java Engineer (Full Stack with Copilot Agent Experience)
Location: Seattle, WA
Duration: Long Term Contract
Required Skills,
  • Strong proficiency in Java development (Spring Boot, Hibernate, REST APIs).
  • Hands-on experience with Angular or React for front-end development.
  • Experience with Springboard API integration.
  • Proven expertise with Copilot Agent / M365 Copilot Agent.
  • Solid understanding of cloud platforms (Azure, AWS, or GCP).

Preferred Skills
  • MCP (Microsoft Certified Professional) certification or equivalent.
  • Exposure to Generative AI engineering tools and frameworks (Azure OpenAI, Vertex AI, AWS Bedrock).
  • Knowledge of microservices architecture and cloud-native design patterns.
  • Experience in enterprise-scale environments with cross-functional collaboration.