1

Copilot Developer Jobs in North Carolina (NOW HIRING)

Hiring Alert | Hadoop Developer Location: Charlotte, NC (Onsite) Employment Type: Full-Time ... Microsoft Copilot for AI-Assisted Development * Production Troubleshooting & Root Cause Analysis

Senior AI Developer

Raleigh, NC · On-site

$118K - $158K/yr

The role focuses on integrating Azure OpenAI, Copilot Studio, and other AI capabilities into ... Collaborate with DevOps/SRE teams on observability, governance, and best practices. * Support ...

Develop and configure copilots using Copilot Studio, including topics, actions, plugins/connectors ... Use Azure DevOps and GitHub for source control, pull requests, code reviews, branching strategies ...

AI Developer- Senior

Raleigh, NC · On-site

$90 - $95/hr

Direct experience integrating Azure OpenAI, Copilot Studio and other AI into Enterprise apps ... Support teams with prompt engineering, API design, and secure AI adoption. * Ensure scalable ...

AI Developer- Senior

Raleigh, NC · On-site

$90 - $95/hr

Direct experience integrating Azure OpenAI, Copilot Studio and other AI into Enterprise apps ... Support teams with prompt engineering, API design, and secure AI adoption. Ensure scalable ...

Sr. Java Developer

Charlotte, NC · On-site

$56 - $71.25/hr

Lead/Sr Java Developer Location: Charlotte, NC/Dallas, TX/Iseline, NJ/ Pennington, NJ/New York, NY ... Leverage GitHub Copilot to enhance productivity, generate scaffolding code, automate boilerplate ...

Automation Engineer (DevOps/Cloud)

Charlotte, NC · On-site

$51.50 - $70.50/hr

... (DevOps/Cloud) (26-06388) Location : Charlotte NC, (3 days in office, 2 days remote) Duration : 12 ... Leverage AI tools (Copilot, Claude) to accelerate development, generate automation code, and reduce ...

Showing results 41-60

Copilot Developer information

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 North Carolina look for?

The top searched job categories for Copilot Developer jobs in North Carolina are:

What cities in North Carolina are hiring for Copilot Developer jobs?

Cities in North Carolina with the most Copilot Developer job openings:

Infographic showing various Copilot Developer job openings in North Carolina as of August 2026, with employment types broken down into 70% Full Time, 15% Part Time, and 15% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

$110K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago


Job description

Must Have Technical/Functional Skills
Primary Skill: Experience in creating Microsoft Copilot Agents. Knowledge of ML and Deep Learning is a plus.
Should have hands-on coding experience in creating Microsoft Copilot Agents.
Experience: Minimum 10 years
Roles & Responsibilities
Bachelors or masters degree in computer science or related field.
• Core Platform skills (Must have)
o Power Platform expertise
§ Power Automate (Flows) -> Automation & Backend actions
§ Power Apps / Dataverse -> data storage and app integration
§ Power Fx basics -> logic expressions used in agents
o Copilot studio fundamentals
§ Topic, triggers, and conversation nodes
§ Agent flows vs skills (when to use each)
§ Adaptive cards for UI interactions
• Generative AI & LLM skills (Critical Differentiator)
o Understanding of LLM driven agents
§ Prompt Design and grounding
§ Context management (multi-turn conversations)
§ Retrieval-based answers using enterprise data
o Prompt Engineering
§ Writing clear instructions for agents
§ Controlling tone, style, and output consistency
• Integration & API skills (Enterprise scale enabler)
o APIs and connection integration
§ Rest APIs
§ Custom connectors
§ Integration with internal platforms (e.g. MuleSoft, starburst in your ecosystem)
§ MS graphs
§ Azure Open AI/ AI services
§ MS 365 Integrations
• Pro-Code extension skills
o Programming languages
§ .NET/JavaScript/Python for building custom skills
§ Agent skills Development
• Build reusable backend capabilities (multi-step logic)
• Handle complex workflows (e.g. Booking, provisioning)
o YAML/Devops-style agent authoring
§ Define agents via configuration (lac -style) § Use tools for validation and automation
• Conversational and UX design skills
o Conversation Design
§ Writing natural, user-friendly dialogue
§ Handling ambiguity & fallback scenarios
o User journey thinking
§ Intent -> task completion -> escalation § Designing frictionless experiences
• Data & Governance skills (Critical in Banking context)
o Data grounding & governance § Connecting agents to enterprise knowledge sources
§ Ensuring correct data retrieval and accuracy
o Security and Compliance awareness
§ Entra ID (authentication)
§ Role-based access, data policies
• Automation and orchestration thinking
o Workflow orchestration
§ Multi-step business processes
§ Event-driven automation
o Multi-Agent patterns(advanced)
§ Agent coordinating tasks across systems
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Ins urance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $110,000- $120,000 a year