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Copilot Ai Jobs (NOW HIRING)

Atos

SD · On-site

$105K - $135K/yr

The ideal candidate will have hands-on experience implementing Microsoft/GitHub Copilot , designing agentic AI solutions , and establishing AI architecture, governance, and adoption frameworks at ...

campus4tech

AI Architect

$64.50 - $85/hr

AI Architect CoPilot SME Location: 100% Remote (EST Hours) Duration: 9-12 Month Contract to Hire Clearance: Must be eligible to obtain and maintain a Public Trust clearance US Citizen and Green Card ...

Euroclear

NY · On-site

$150 - $200/hr

Copilot,Office 365, SharePoint, Teams, Power Platform, Power BI, Power Apps, Power Automate ... A role at the intersection of Compliance, AI development, citizen development, data, automation ...

Conflux Systems

Java AI Architect

Texarkana, TX · On-site

$70/hr

Java EE, React JS, MSGithub Copilot * Rate: $70/hr. * Location: Remote * Duration: 6 months * See below: Must Have Technical/Functional Skills: • Proven experience as an AI Architect defining ...

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$59.5K

$121.3K

$181.5K

How much do copilot ai jobs pay per year?

As of Sep 9, 2026, the average yearly pay for copilot ai in the United States is $121,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $155,500.00 per year, depending on experience, location, and employer.

What is a Copilot AI?

Copilot AI professionals are experts who specialize in implementing and managing AI-powered assistant tools, such as Microsoft's Copilot, within organizations. They help integrate these AI solutions into workflows to automate tasks, boost productivity, and enhance decision-making. Their responsibilities often include training users, troubleshooting issues, and optimizing the use of Copilot AI to meet specific business needs. These professionals typically have a background in information technology, artificial intelligence, or business process optimization.

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

To thrive as an AI Copilot (AI Product Manager), you need a strong background in computer science or engineering, experience with AI/ML concepts, and product management expertise, often supported by a relevant degree. Familiarity with tools like Python, TensorFlow, cloud platforms, and certification in AI or product management is highly valuable. Outstanding communication, problem-solving, and cross-functional collaboration skills set top candidates apart. These abilities enable effective coordination between technical and business teams, ensuring the successful development and deployment of AI-driven products.

How does a Copilot AI typically collaborate with cross-functional teams to implement AI-driven solutions?

As a Copilot AI specialist, you will frequently work alongside software engineers, product managers, and data scientists to integrate AI features into products or workflows. Collaboration often involves translating business requirements into technical specifications, ensuring the AI models align with user needs, and troubleshooting any integration challenges that arise. Regular meetings, code reviews, and shared project management tools help maintain clear communication and foster teamwork. This collaborative environment not only aids in delivering robust AI solutions but also provides opportunities for learning and career advancement.

What is the difference between Copilot Ai vs Software Developer?

AspectCopilot AiSoftware Developer
Required CredentialsNone specific, AI and coding knowledge helpfulBachelor's degree in CS or related field often required
Work EnvironmentIntegrated into coding platforms, collaborative toolsOffice or remote, project-based work
Industry UsageUsed as a coding assistant across tech companiesDevelops software applications in various industries
Search & Comparison IntentAI coding tools, coding assistantsSoftware development careers, programming roles

While Copilot Ai functions as an AI-powered coding assistant to support software development, a Software Developer actively designs, codes, and maintains software applications. Copilot Ai enhances productivity, whereas Software Developers are responsible for creating and implementing software solutions.

What is a Copilot Ai career?

A Copilot AI career typically involves developing, implementing, and maintaining AI-powered assistance tools that support users in various tasks. Roles may include AI engineering, data analysis, and software development, often requiring knowledge of machine learning, programming languages, and AI frameworks. These positions are found in technology companies focusing on automation and intelligent systems.

What cities are hiring for Copilot Ai jobs?

Cities with the most Copilot Ai job openings:

What are popular job titles related to Copilot Ai jobs?

For Copilot Ai jobs, the most frequently searched job titles are:

Infographic showing various Copilot Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $121,330 per year, or $58.3 per hour.

CoPilot AI Specialist

Bethpage, NY • On-site

Velocity Search Group Inc.
See more jobs at Velocity Search Group Inc.external

Other

Posted 25 days ago

Key responsibilities

  • Design, prototype, implement, and support AI-powered solutions using Microsoft 365 Copilot, Copilot Studio, Azure AI services, Power Platform, and related Microsoft technologies

  • Build conversational experiences, agents, and workflow automations that improve business processes and user productivity

  • Support proof-of-concepts, pilots, and production implementations, including setup, testing, troubleshooting, documentation, and operational handoff

Job description

Our client, a major entertainment/media firm located in Bethpage, Long Island, is looking to hire a Full Time hands-on, technically strong Microsoft Copilot & AI Solutions Specialist to join our Enterprise Systems team. This role is focused on designing, building, and supporting AI-powered solutions across the Microsoft ecosystem, with an emphasis on Microsoft 365 Copilot, Copilot Studio, Azure AI services, Power Platform, SharePoint, Teams, and related integrations. This is a hybrid role, 4 days onsite in our Clients Bethpage office.
This position is ideal for someone who enjoys turning business ideas into working solutions. The right candidate can engage with stakeholders to understand a problem, quickly prototype a solution, refine it through testing and feedback, and help move it into production in a secure and supportable way. A key part of the role will be helping shape and deliver conversational AI, agent-based workflows, and intake/automation experiences that improve productivity and simplify how employees interact with enterprise services. This role requires a self-starter who can operate independently, navigate ambiguity, and rapidly iterate on solutions in a fast-evolving AI landscape.
This role is primarily a technical, delivery-focused role. We are looking for someone who can work effectively with Legal, Compliance, Cybersecurity, and Data Privacy teams, but whose strength is in building, integrating, troubleshooting, and operationalizing AI solutions.
Success in this role means helping the organization adopt Microsoft AI capabilities in a practical, secure, and scalable way while delivering measurable business value.
RESPONSIBILITIES
AI Solution Design & Delivery
  • Design, prototype, implement, and support AI-powered solutions using Microsoft 365 Copilot, Copilot Studio, Azure AI services, Power Platform, and related Microsoft technologies
  • Design and implement Copilot Studio agents, including conversational flows, orchestration, and integration with enterprise data sources
  • Build conversational experiences, agents, and workflow automations that improve business processes and user productivity
  • Translate business problems and use cases into practical technical solutions, with a focus on usability, scalability, and supportability
  • Develop intake, routing, summarization, and knowledge-driven experiences that capture user needs and produce structured outputs for review or downstream processing
  • Configure and integrate AI solutions with platforms such as SharePoint, Teams, Microsoft 365, Microsoft Graph, ServiceNow, and other enterprise systems
  • Support proof-of-concepts, pilots, and production implementations, including setup, testing, troubleshooting, documentation, and operational handoff
Microsoft Platform Engineering & Integration
  • Build and support integrations using APIs, connectors, Power Automate, and Microsoft Graph
  • Work across Microsoft 365, SharePoint Online, Teams, Entra ID, Power Platform, and Azure services to deliver connected AI solutions
  • Contribute to solution design patterns, reusable components, and technical standards for Microsoft-based AI solutions
  • Help establish practical support and monitoring approaches for AI solutions in production
  • Troubleshoot issues related to authentication, permissions, data access, connectors, and AI workflow behavior
AI Governance, Security, and Responsible Use
  • Partner with Legal, Compliance, Cybersecurity, Data Privacy, and Enterprise Architecture teams to ensure AI solutions align with company policies and risk expectations
  • Incorporate governance, guardrails, and data protection considerations into solution design, including appropriate use of Microsoft Purview, DLP, access controls, and information protection concepts
  • Evaluate proposed AI use cases for feasibility, platform fit, security considerations, and implementation approach
  • Help document solution designs, assumptions, risks, and recommended controls in a clear, business-friendly way
  • Support responsible AI practices by ensuring solutions are designed with transparency, appropriate human oversight, and secure handling of enterprise data
Enablement & Adoption
  • Act as a technical advisor to business and IT stakeholders on what Microsoft AI capabilities can and cannot do
  • Help teams identify and prioritize high-value use cases for Copilot, agents, and workflow automation
  • Create documentation, knowledge articles, runbooks, and training materials to support adoption and operational readiness
  • Communicate technical concepts clearly to both technical and non-technical audiences
  • Stay current on Microsoft AI roadmap capabilities and evaluate how new features may be applied within the organization

QUALIFICATIONS
  • Bachelor''s degree or higher in Computer Science, Data Science, Statistics, or a related field
  • Experience designing, implementing, or supporting enterprise technology solutions in Microsoft 365, Azure, Power Platform, automation, AI, or related areas
  • Hands-on experience with one or more of the following: Microsoft 365 Copilot, Copilot Studio, Azure AI services, Azure OpenAI, Power Automate, Power Apps, or similar enterprise AI/automation platforms
  • Experience building or supporting integrations across enterprise platforms using APIs, connectors, workflow automation, or scripting
  • Strong working knowledge of the Microsoft ecosystem, including Microsoft 365, SharePoint Online, Teams, Entra ID, and related collaboration technologies
  • Familiarity with Microsoft Purview, DLP, data classification, or related governance/security capabilities as they apply to AI and enterprise data protection
  • Experience gathering requirements, translating business needs into technical solutions, and supporting solutions through testing and deployment
  • Strong troubleshooting and problem-solving skills, with the ability to operate independently in ambiguous situations
  • Strong written and verbal communication skills, including the ability to explain technical concepts to business stakeholders

PREFERRED QUALIFICATIONS
  • Experience designing or deploying conversational agents, copilots, or AI-assisted workflow solutions in an enterprise environment
  • Experience with Azure AI Foundry, prompt design, grounding patterns, knowledge sources, or retrieval-based solution patterns
  • Experience integrating AI solutions with SharePoint lists, Teams, service platforms, or custom business applications
  • Scripting or development experience with PowerShell, Python, JavaScript, or C#
  • Familiarity with Microsoft Graph, app registrations, service principals, and authentication patterns used in enterprise integrations
  • Experience working in regulated, compliance-conscious, or security-sensitive environments
  • Exposure to AWS Bedrock, Claude, Gemini, or other enterprise AI platforms
  • Familiarity with generative AI tools for image and video creation (e.g., Adobe Firefly, Runway, or similar diffusion-based tools) and their application in business workflows
  • Experience creating technical documentation, training content, or operational runbooks
  • Microsoft certifications such as AI-900, AI-102, MS-102, PL-400, PL-600, or similar are a plus
Salary up to 120k

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