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Copilot Developer Jobs in Wisconsin (NOW HIRING)

Husch Blackwell Llp

Software Developer

Milwaukee, WI · On-site +1

The Software Developer designs, develops, and deploys modern, AI-driven solutions that enhance ... NET Core, Azure-native services, and emerging AI platforms such as Azure AI Foundry and Copilot ...

Husch Blackwell Llp

Software Developer

Madison, WI · On-site +1

The Software Developer designs, develops, and deploys modern, AI-driven solutions that enhance ... NET Core, Azure-native services, and emerging AI platforms such as Azure AI Foundry and Copilot ...

Reign Mark Consulting Services, LLC

Good understanding of one core programming languages (Java or Python) * RDBMS (Well versed with SQL ... Comfortable with using AI coding agents (Github Copilot etc.) * JSON, XML Schemas * Good ...

Direct Supply

Senior Digital Workplace Engineer

Milwaukee, WI · On-site

$102K - $141K/yr

... Copilot), and platform scalability to align with cost and compliance goals. • Automate ... Engineering to advance Zero Trust architecture and hybrid work readiness. • Co-develop AI-driven ...

Directsupply

Senior Digital Workplace Engineer

Milwaukee, WI · Hybrid

$103K - $141K/yr

In the Senior Digital Workplace Engineer position, you'll architect and manage secure, scalable ... Integrate AI tools like Copilot and ChatGPT into user workflows to improve productivity and reduce ...

ULINE

Microsoft Solutions Engineer

Pleasant Prairie, WI · On-site

$80K - $123K/yr

Microsoft Solutions Engineer Pay from $80,000 to $123,000 per year Corporate Headquarters 12575 ... Experience with Copilot Studio and Azure automation tools preferred. * Uline does not participate ...

ULINE

Microsoft Solutions Engineer

Kenosha, WI

$80K - $123K/yr

Join us as a Microsoft Solutions Engineer serving as a Power Platform expert for one of the largest ... Experience with Copilot Studio and Azure automation tools preferred. * Uline does not participate ...

ULINE

Microsoft Solutions Engineer

Milwaukee, WI

$80K - $123K/yr

Join us as a Microsoft Solutions Engineer serving as a Power Platform expert for one of the largest ... Experience with Copilot Studio and Azure automation tools preferred. * Uline does not participate ...

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Copilot Developer information

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 Wisconsin? For Copilot Developer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Copilot Developer jobs in Wisconsin look for? The top searched job categories for Copilot Developer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Copilot Developer jobs? Cities in Wisconsin with the most Copilot Developer job openings:
Copilot Developer jobs near you
Infographic showing various Copilot Developer job openings in Wisconsin as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.
Senior DevOps Analyst

Senior DevOps Analyst

Madison Gas and Electric Company

Madison, WI

$131K - $168K/yr

Full-time

Posted 6 days ago

Job description

Position Purpose

Leads the design, implementation, and maturity of AI-enabled DevOps platforms, with a focus on Microsoft Copilot, GitHub Copilot, AI agents, and intelligent automation. Partners with technology and business stakeholders to enable scalable adoption of AI-assisted development and automation. Serves as a technical platform leader and advisor, integrating AI tools and agent-based solutions into Azure DevOps workflows and software development practices. Establishes standards, patterns, and best practices to ensure secure, reliable, and governed AI-enabled solutions while accelerating delivery through modern DevOps and continuous improvement.

Core Responsibilities

Note: This is not an all-inclusive listing

  • Design, build, deploy, and operate AI agents and intelligent automation solutions, including LLM-powered and multi-agent systems.
  • Lead the adoption of Microsoft Copilot, GitHub Copilot, and Copilot Studio to enable AI-assisted development and improve engineering productivity.
  • Serve as a technical advisor to DevOps, application, and platform teams on AI-enabled development, automation, and agent-based solutions.
  • Design and maintain Azure DevOps CI/CD pipelines supporting AI-assisted development, automated testing, and continuous delivery.
  • Partner with software engineering, enterprise architecture, and product teams to integrate AI-driven capabilities into application and platform solutions.
  • Architect and manage secure, scalable Azure infrastructure for AI workloads using infrastructure-as-code practices.
  • Establish and operationalize DevOps and MLOps practices, including versioning, monitoring, governance, and lifecycle management of AI systems.
  • Implement and maintain observability solutions (logging, metrics, tracing, and alerting) for distributed and AI-driven systems.
  • Define and enforce security, compliance, and governance standards across AI systems, pipelines, and cloud platforms.
  • Evaluate emerging AI and DevOps technologies to improve reliability, developer productivity, and operational efficiency.
  • Optimize scalability, performance, and cost for AI-enabled platforms and compute-intensive workloads.
Behavioral Competencies

Note: These are in addition to MGE's Core Competencies

  • Manages Complexity - Navigates sophisticated technical environments and ambiguous AI challenges effectively.
  • Drives Results - Consistently delivers high-quality, scalable solutions in fast-paced environments.
  • Collaborates - Builds strong partnerships across engineering, data science, and business teams.
  • Instills Trust - Gains credibility through technical expertise and reliable execution.
  • Strategic Mindset - Anticipates future AI and technology trends and aligns solutions with long-term objectives.
Skills
  • Strong experience building, operating, and enabling AI agents, intelligent automation, and AI-assisted development workflows.
  • Hands-on experience with Microsoft Copilot, GitHub Copilot, Copilot Studio, or similar AI-assisted engineering tools.
  • Deep mastery of Azure DevOps and modern DevOps practices, including CI/CD, Git, GitHub, infrastructure as code, automation, and platform reliability.
  • Expert-level experience within the Microsoft ecosystem, including Azure, Azure DevOps, GitHub Enterprise, and Azure-native services.
  • Strong understanding of LLM concepts, agent orchestration frameworks, and prompt engineering (e.g., LangChain, AutoGen, CrewAI).
  • Experience operationalizing AI and ML systems, including deployment, monitoring, governance, and lifecycle management.
  • Expertise in infrastructure as code using Terraform, Bicep, ARM templates, or similar frameworks.
  • Advanced experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Strong programming and automation skills using Python, PowerShell, Bash, or similar languages.
  • Experience implementing observability solutions using Azure Monitor, Log Analytics, Application Insights, or equivalent tools.
  • Advanced Git usage, branching strategies, and pull request workflows.
  • Strong understanding of security, identity, and compliance considerations in cloud and AI-enabled environments.
  • Proven ability to lead, enable, and influence DevOps and AI adoption across multiple teams.
Education

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field required; an equivalent combination of education and experience may be considered.

Relevant certifications preferred, such as:

  • Microsoft Certified: Azure DevOps Engineer Expert
  • Microsoft Certified: Azure AI Engineer Associate
  • Kubernetes certifications (CKA, CKAD)
  • Azure or GitHub architecture certifications
Experience
  • 7+ years of experience in DevOps, Platform Engineering, Site Reliability Engineering, or related roles supporting complex, cloud-based environments.
  • 3+ years of hands-on experience enabling or supporting AI-driven systems, intelligent automation, or AI-assisted development in production environments.
Work Location
  • This hybrid role is based at our Madison, WI headquarters. While three days onsite is the minimum, team collaboration and business needs may require additional in-office presence.

  • This position may require participation in on-call rotations and occasional off-hours support to ensure platform reliability and availability.

Pre-employment will require satisfactory completion of a background check and drug screen.

We are an AA/EOE employer and consider all qualified candidates without regard to protected status.

Employment Type: Full time

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