Microsoft Copilot

Microsoft Copilot Data Jobs

6 jobs found

Today

Microsoft Platform and AI Engineer

GORILLA GLUE COMPANY Sharonville, OH

Sharonville, OH

Today

Full time Artificial Intelligence Data Integration Data Platform

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Job Description

The Microsoft Platform and AI Engineer supports the Gorilla Glue Microsoft 365 ecosystem and AI-enabled solutions, helping improve productivity, automate business processes, and deliver measurable value. The role focuses on implementing, administering, and continuously improving Microsoft 365, Power Platform, Copilot Studio, and related AI capabilities while aligning solutions to enterprise standards.

Key Responsibilities

Configure and support Microsoft 365, Microsoft 365 Copilot, Copilot Studio, and Power Platform capabilities to enable business productivity, automation, and AI-driven experiences.
Implement integrations between Copilot Studio, Power Platform, SharePoint Online, Teams, OneDrive, Exchange Online, and other approved Microsoft technologies.
Develop secure workflows, actions, connectors, and knowledge experiences for agents and AI solutions to interact with Microsoft 365 services and business data.
Troubleshoot and resolve issues related to Copilot, Copilot Studio, Power Platform, Microsoft 365 integrations, permissions, data access, and platform services.
Design, build, test, deploy, and maintain Copilot Studio agents that address approved business needs.
Configure topics, generative orchestration, knowledge sources, actions, authentication, variables, and conversation flows for effective agent experiences.
Integrate agents with Power Automate, Microsoft 365, Dataverse, approved APIs, Microsoft Graph, and other enterprise systems.
Apply responsible AI, security, data protection, access control, and governance requirements throughout the solution lifecycle.
Perform testing, troubleshooting, monitoring, and continuous improvement of agents based on usage, quality, risk, and stakeholder feedback.
Develop reusable patterns, templates, and components aligned to approved architecture standards.
Use Power Apps, Power Automate, Dataverse, and other approved Power Platform capabilities to design and build business solutions.
Automate business processes, approvals, notifications, data capture, and integrations using secure and maintainable workflows.
Use solutions, connection references, environment variables, and application lifecycle management practices to move work through development, test, and production environments.
Configure roles, permissions, connectors, and data access in accordance with governance.
Support existing applications and automations by diagnosing failures, managing changes, and improving reliability and usability.
Support Microsoft 365 Copilot deployment activities, including readiness, onboarding, and adoption.
Deliver demonstrations, training sessions, office hours, and practical guidance for employees and business teams.
Create user guidance, solution documentation, FAQs, learning materials, and reusable prompting examples.
Identify opportunities for AI, agents, automation, and Microsoft platform improvements, and provide technical input for approved use-case assessments.
Develop proof of concepts and production-ready solutions for approved initiatives.
Communicate technical concepts to business stakeholders and provide practical recommendations and progress updates.
Implement and support governance standards for Microsoft 365, Power Platform, Copilot Studio, and enterprise AI solutions.
Ensure solutions align with security, privacy, compliance, data governance, accessibility, and supportability requirements.
Participate in design reviews, testing, release planning, change control, incident resolution, and post-implementation reviews.
Identify technical risks, platform constraints, licensing considerations, and support requirements, escalating decisions where appropriate.
Collaborate with IT teams and approved partners to resolve platform, integration, identity, data, or service issues.
Deliver assigned Microsoft platform and AI initiatives under the direction of the Managed - Global MS Platforms, owning tasks and workstreams from discovery through implementation and transition to support.
Maintain clear plans, actions, risks, dependencies, testing evidence, and status updates; coordinate with users, technical teams, vendors, and stakeholders to support successful implementation and adoption.
Contribute to continuous improvement of delivery methods, standards, documentation, and reusable solution patterns.

Required Qualifications

Minimum 3 years of professional work experience.
Demonstrated experience designing, building, testing, and deploying solutions in Microsoft Copilot Studio.
Strong practical delivery with Power Platform, particularly Power Apps, Power Automate, and Dataverse.
Experience integrating Copilot Studio, Power Platform, Microsoft 365 services, APIs, connectors, SharePoint, and Dataverse.
Experience designing AI-enabled solutions, workflows, automations, and business process improvements using Microsoft technologies.
Working knowledge of environments, security roles, permissions, data loss prevention, solution management, and application lifecycle practices within Power Platform.
Experience gathering business requirements and translating them into technical solutions, prototypes, or production implementations.
Ability to troubleshoot agents, applications, workflows, integrations, identity, permissions, and data-related issues.
Strong written and verbal communication skills, including user training and explaining technical concepts to non-technical audiences.
Demonstrate ownership, organization, documentation, and problem-solving skills.
Commitment to responsible AI, security, privacy, governance, and continuous learning.

Education

Bachelor's degree in Information Technology, Computer Science, Business, or a related discipline (or equivalent experience).

Technologies

Microsoft 365
Microsoft 365 Copilot
Copilot Studio
Power Platform
Power Apps
Power Automate
Dataverse
Microsoft 365 Services
SharePoint Online
Teams
OneDrive
Exchange Online
Microsoft Graph
Power BI
Power Pages
AI Builder
Azure
Azure AI
PowerShell
Entra ID
Dynamics 365

Preferred Qualifications

Experience with SharePoint Online, Teams, Exchange Online, Entra ID, Microsoft Graph, or PowerShell.
Experience using Azure services or Azure AI capabilities in support of Microsoft platform solutions.
Experience with Power BI, Power Pages, AI Builder, custom connectors, or Dynamics 365.
Experience supporting a multinational or distributed organization.
Relevant Microsoft certifications such as PL-200, PL-400, MS-102, or AI-900.

Benefits

Competitive compensation packages
Comprehensive healthcare benefits
Other perks and incentives
Supportive and engaged workplace culture

What Your Day Will Look Like

Microsoft 365 Administration & Platform Engineering
Copilot Studio & AI Solution Development
Power Platform Solution Development
Copilot Deployment, Adoption & Enablement
AI Use-Case Discovery & Business Partnership
Governance, Security & Operational Support
Project Delivery & Implementation

Company Values

Have fun, be passionate and show it.
Act with integrity and respect in all relationships.
Communicate openly and appreciate the effort of others.
Embrace knowledge, growth, and change.
Strive for excellence in what we do every day.

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8d ago

Senior AI Engineer I

Schneider Electric Nashville, TN

Nashville, TN

8d ago

$102k - $152k/yr Full time Senior Ai Agents Analytics

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Job Description

Senior AI Engineer I role embedded within Schneider Electric’s Secure Power team to deliver production AI agents, automation, and dashboards.

Responsibilities

Build and deploy AI agents (for example, Microsoft Copilot Studio) to address real Secure Power business problems
Design, maintain, and support automation and dashboard infrastructure using Power Automate, Power Apps, Power BI, and Smartsheet
Partner with process owners and team leaders to map current-state workflows, remove broken or redundant steps, and deliver working prototypes and Minimum Viable Products (MVPs)
Automate operational workflows across enterprise systems already in use, including Salesforce, Oracle, CPQ, and SharePoint, to reduce manual re-entry
Run pilots, collect feedback, iterate quickly, and write simple documentation so the team can adopt and own what is built
Collaborate with the central AI team and follow established governance, security, and responsible AI policies

Requirements

AI Agent Development: Experience building, training, and deploying AI agents (such as Copilot Studio) for real production use
Workflow Automation: Ability to implement and deploy automated workflows using low-code platforms (such as Power Automate and Power Apps)
Process Mapping & Redesign: Capability to map end-to-end current-state workflows and determine where automation will add value
Data Integration: Skill connecting AI and automation tools across enterprise systems via APIs (example systems include Salesforce and Oracle) to reduce manual data re-entry
Prompt & Logic Design: Translating business rules and decision logic into clear, testable agent instructions
Responsible AI & Governance: Applying data privacy and security practices, including human review when outputs impact a customer or an order
Strong problem-solving mindset to handle ambiguous, undocumented processes independently
Excellent collaboration skills to translate business requirements into technical solutions with cross-functional partners
Growth mindset and curiosity to explore new AI and automation technologies and methods
Adaptability to changing priorities in a fast-moving embedded team environment
Comfort discussing technical tradeoffs with non-technical stakeholders or leaders

Tools & Technologies

Microsoft Copilot Studio
Power Automate
Power Apps
Power BI
Smartsheet
Salesforce
Oracle
API
SharePoint

Compensation & Location

Location: Nashville, TN (onsite)
Pay range: USD 101,600 - 152,400 per year
Pay range notes: Includes base pay and short-term incentives; applies to candidates located within the United States; individual pay depends on factors including performance, skills, experience, and education or training

Benefits

Medical (with member reward points), dental, vision, and basic life insurance
Benefit Bucks
Flexible work arrangements
Paid family leaves
Well-being programs
12 holidays per year
15 days of paid time off per year
Base salary, incentives, company share ownership, and 401(k) with match
Performance discussions, global opportunities, the Schneider Career Hub, and learning platforms like Coursera
Volunteer leave, programs with the Schneider Electric Foundation, youth education initiatives, and military leave benefits

About the role

Embedded within Secure Power to leverage generative AI, automation platforms, and low-code tooling to solve operational problems and reduce manual work
Build, test, and deploy AI agents, automated workflows, and dashboards while maintaining integrations and infrastructure needed for ongoing operation
Translate business rules and decision logic into reliable agent instructions and convert manual processes into automated workflows
Build dashboards to support leadership performance tracking and visibility
Apply specialized technical expertise in AI and automation to identify inefficiencies, map processes, and address Secure Power operational pain points
Make decisions on own work and priorities, guided by established precedents, technical standards, and interpretation
Guide other professionals and provide mentorship on non-routine or escalated issues; work is reviewed for accuracy and quality

If this U.S. job posting is not compliant with applicable state pay transparency laws, please notify the Company by completing the Job Posting Compliance Form.

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8d ago

AI Engineer I

Ring Power Corporation Saint Augustine, FL

Saint Augustine, FL

8d ago

Full time Ai Applications Artificial Intelligence Azure Ai

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Job Description

Ring Power Corporation is looking for an AI Engineer I to design and build AI-powered applications and workflows that support efficiency across departments. This onsite role in Saint Augustine, FL focuses on integrating AI capabilities into enterprise environments, monitoring solution performance, and helping business users apply AI tools through training.

In this position, you will collaborate with business units to spot automation opportunities, strengthen advanced data capabilities that support AI and analytics initiatives, and stay current with emerging AI technologies to contribute ideas for innovation.

Responsibilities

Design and develop AI-powered applications and workflows to improve efficiency across departments.
Integrate AI solutions with enterprise platforms (for example, Microsoft Dynamics 365 and Azure services).
Partner with business units to identify opportunities for AI-driven automation.
Monitor and optimize AI solutions for performance, scalability, and security.
Support AI and analytics initiatives by enabling advanced data capabilities.
Stay informed on emerging AI technologies and contribute ideas for innovation.
Deliver training and enablement sessions for business users on Microsoft Copilot and other AI tools.
Perform other duties as assigned.

Requirements

Education: Bachelor’s Degree in a related area of study.
Experience: 1-2 years.
Familiarity with AI/ML frameworks and tools (including Azure AI, OpenAI APIs, and Microsoft Copilot).
Strong analytical, problem-solving, and communication skills.
Basic proficiency in programming languages such as Python, C#, or JavaScript.
Understanding of cloud platforms (Azure preferred) and API integration.
Job requirements frequently change, requiring re-training once or more per year.

Essential Job Competencies

Safety: Fully supports, encourages, and follows safe work behavior, with safety as paramount in the workplace.
Communication: Uses active listening, communicates clearly, uses feedback to confirm understanding, and keeps others informed through consistent updates while avoiding surprises.
Analytical: Breaks down complex tasks logically, compares alternatives by costs, benefits, risks, and success chances, identifies patterns and trends to determine root cause, and generates and selects creative solutions.
Adaptability: Adjusts approach and priorities as business needs and responsibilities change, recovers from setbacks, and remains open to new methods.
Customer Oriented: Focuses on meeting internal and external customer needs and responds effectively to concerns.
Results Oriented: Maintains urgency and focus, uses efficient methods to meet timelines, and adjusts schedules as needed without sacrificing quality.
Coaching and Mentoring: Provides timely feedback and guidance, builds productive relationships, and explains the importance of team contributions.
Information Gathering: Uses appropriate sources, ensures accuracy and completeness, documents and organizes information for decision-making needs.
Planning and Organizing: Creates realistic schedules, evaluates progress against goals, prioritizes key actions, anticipates impacts and risks, and adjusts plans based on input.

Technology & Tools

Azure, Azure AI, OpenAI APIs, Microsoft Copilot, Microsoft Dynamics 365
Python, C#, JavaScript

Additional Criteria (Not Required)

Experience with Microsoft Dynamics and enterprise data environments.
Knowledge of prompt engineering and generative AI models.
Exposure to data analytics or business intelligence tools.

Work Environment & Physical Demands

Stress load: Regular exposure to these stresses (20-80% of the time).
Workload fluctuation: Priorities, complexity, and/or quantity of work frequently change.
Schedule: Normal business hours, with occasional requirements to work nights, holidays, or weekends.
Supervisory responsibility: No subordinates and no supervisory responsibility.
Organizational impact: Performance has considerable immediate impact on expense, efficiencies, or department objectives.
Physical demands: Includes occasional activities such as climbing, balancing, stooping, kneeling, crouching, crawling, reaching, and fingering, with frequent standing, sitting, walking, and talking, and constant repetitive motion and hearing. Also includes occasional lifting, pushing, and pulling up to 25 lbs.

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16d ago

AI Engineer

Experis Charlotte, NC

Charlotte, NC

16d ago

$60 - $65/hr Full time Ai Automation Ai Engineer Ai Monitoring

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Job Description

Experis is hiring an AI Engineer to support enterprise AI solutions within the AI & Automation Department. If you enjoy building practical AI that helps teams move faster, this role focuses on deploying solutions with Microsoft Copilot and Azure AI services, along with automation, integrations, monitoring, and staying current with Generative AI and AI governance.

What you’ll get

Hybrid work in Charlotte, NC (3 days onsite)
$60-$65/hr (weekly pay)
Medical and Prescription Drug Plans
Dental and Vision Plans
Health Savings Account, Health Flexible Spending Account, and Dependent Care Flexible Spending Account
Supplemental Life Insurance
Short Term and Long Term Disability Insurance
Business Travel Insurance
401(k) with Plus Match

Responsibilities

Design, develop, and implement enterprise AI solutions using Microsoft Copilot, Azure AI services, and modern AI technologies
Improve productivity by building AI-powered automation and intelligent workflows
Partner with cross-functional teams to integrate AI models and support seamless API integrations
Use data analytics and AI monitoring tools to optimize AI solutions and help ensure responsible AI practices
Stay current on Generative AI, Large Language Models (LLMs), and AI governance to drive ongoing innovation

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s preferred)
5+ years of experience across software engineering, AI/ML, cloud engineering, or automation
2+ years hands-on experience with Generative AI, LLMs, and Microsoft Copilot technologies
Proficiency with Microsoft 365 Copilot, Azure OpenAI Services, and Azure AI Studio
Strong skills in prompt engineering, API integration, data analytics, and responsible AI practices

Technologies you’ll work with

Microsoft Copilot, Microsoft 365 Copilot
Azure AI services, Azure OpenAI Services, Azure AI Studio
Generative AI, Large Language Models (LLMs)
AI monitoring tools

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16d ago

Applied AI Engineer I

Daimler Truck North America Portland, OR

Portland, OR

16d ago

$71k - $91k/yr Full time Analytics API APIs

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Job Description

Join DTNA’s Engineering Quality, Safety and Compliance (EQSC) team to support governed data practices and AI-agent workflows.

Responsibilities

Support governed data pipelines using Snowflake-enabled datasets, including preparation, cleaning, validation, and connection of requirements, specifications, validation records, vehicle compliance inputs, defect investigations, manufacturing data, service data, warranty information, and field-quality insights.
Assist with SQL queries, data models, metadata fields, and data-quality checks to improve traceability, reliability, and readiness for analytics and AI-assisted workflows.
Contribute to AI-agent implementation by helping configure workflows, retrieval patterns, prompt examples, test cases, and deployment-support materials under guidance from senior team members.
Help prepare approved standards, process guidance, historical examples, compliance references, investigation learnings, and engineering knowledge content for use in AI-assisted workflows and evaluation datasets.
Support testing, validation, and deployment of AI-agent capabilities using approved enterprise platforms and Snowflake-enabled data assets, including Microsoft 365 Copilot / Copilot Studio, APIs, and related tools.
Track and capture data-quality issues, manual handoffs, duplicated steps, user pain points, pilot feedback, and improvement ideas in issue-tracking or backlog tools.
Support analysis across connected engineering, compliance, investigation, manufacturing, service, warranty, and field data to improve risk assessment, product-quality decisions, corrective-action follow-up, and service diagnostics.
Help measure AI-agent output quality using evaluation datasets and regression testing, including grounding checks, stress testing, and hallucination-reduction reviews (accuracy, efficiency, and token usage; user feedback).
Create and maintain implementation notes, prompt/configuration change logs, user guidance, training aids, data definitions, known limitations, and adoption content in Confluence, SharePoint, and similar platforms.
Coordinate with Vehicle Engineering, Product Engineering, Vehicle Compliance, Product Validation, Manufacturing, Service, Quality, IT, defect investigation teams, and regional/global stakeholders to support user acceptance testing, adoption, and well-governed AI and data solutions.

Requirements

Bachelor’s degree in engineering, computer science, data science, or a related technical field.
0–2 years relevant experience via work, internships, co-ops, academic projects, or applied technical projects.
Foundational understanding of AI/ML and GenAI, including large language models, embeddings, retrieval, prompt patterns, and basic model evaluation.
Awareness of responsible AI, including grounding, hallucination reduction, privacy, access control, bias awareness, and human review for high-impact engineering decisions.
Basic experience preparing, cleaning, validating, joining, and documenting datasets for analytics, automation, or AI-assisted workflows.
Working knowledge of SQL, Python, REST APIs, and enterprise data-platform concepts, including Snowflake or similar environments.
Familiarity with basic software-development practices such as version control, configuration tracking, code review, testing discipline, and clear technical documentation.
Evaluation and regression-testing mindset: create test cases, compare expected vs. actual results, document limitations, and support issue resolution.
Familiarity with collaboration/documentation/issue-tracking tools such as Jira, Azure DevOps, Confluence, SharePoint, or similar platforms.
Basic awareness of automotive/engineering quality, product development, compliance, manufacturing, warranty, service, or field-quality workflows.
Ability to communicate clearly, collaborate cross-functionally, learn quickly, ask good questions, and manage multiple tasks with guidance.

Technologies

Snowflake
SQL
Python
REST APIs
Microsoft 365 Copilot
Copilot Studio
APIs
Confluence
SharePoint
Jira
Azure DevOps
Power BI
Excel
Power Platform

Benefits

401k company contribution with company match up to 8%
Non-elective company contribution of 3–7% depending on age
Starting at 4 weeks paid vacation
13+ calendar holidays
8 weeks paid parental leave
Employee assistance program
Comprehensive healthcare plans and wellness programs
Onsite fitness (at some locations)
Tuition assistance
Volunteer paid time off
Short-term and long-term disability plans

Additional Information

Hybrid schedule: 4 days per week in-office / 1 day remote
Location: Portland, OR (hybrid)
Relocation assistance is not available
Not open for Visa sponsorship or to existing Visa holders
Must be legally authorized to work permanently in the country where the position is located at the time of application
Final candidate must successfully complete a criminal background check
Final candidate may be required to complete a pre-employment drug screen
Contractors/professional services/contingent workers should confirm eligibility with their local agency for FTE positions
EEO - Disabled/Veterans

Posting Information

DTNA provides a scheduled posting end date to support application planning. The date may change, and postings may be extended or removed earlier than expected.

What You Drive at DTNA

Support governed data pipelines (Snowflake-enabled datasets) by preparing, cleaning, validating, and connecting requirements, specifications, validation records, vehicle compliance inputs, defect investigations, manufacturing data, service data, warranty information, and field-quality insights.
Assist with SQL queries, data models, metadata fields, and data-quality checks to improve traceability, reliability, and readiness for analytics and AI-assisted workflows.
Help configure AI-agent workflows, retrieval patterns, prompt examples, test cases, and deployment-support materials under senior guidance.
Prepare approved standards, process guidance, historical examples, compliance references, investigation learnings, and engineering knowledge content for AI-assisted workflows and evaluation datasets.
Support testing, validation, and deployment of AI-agent capabilities using enterprise platforms, Snowflake-enabled data assets, Microsoft 365 Copilot / Copilot Studio, APIs, and related tools.
Capture data-quality issues and improvement ideas in issue-tracking or backlog tools to support practical workflow changes.
Support analysis across engineering, compliance, investigations, manufacturing, service, warranty, and field data for risk assessment, product-quality decisions, corrective-action follow-up, and service diagnostics.
Help measure AI-agent output quality and efficiency using evaluation datasets, regression testing, grounding checks, stress testing, and hallucination-reduction reviews.
Create and maintain implementation notes, configuration change logs, user guidance, training aids, data definitions, known limitations, and adoption content in Confluence, SharePoint, and similar platforms.
Work with cross-functional teams to support user acceptance testing, adoption, and well-governed AI and data solutions.

Exceptional Candidates Might Have

Applied project, internship, co-op, capstone, or portfolio experience producing a working prototype, workflow, dashboard, or documented solution.
Hands-on exposure to AI-enabled workflows, custom AI agents, retrieval-augmented generation, vector search, embeddings, prompt engineering, or agent evaluation.
Experience with enterprise data platforms or business systems such as Snowflake, Dataverse, SAP, SharePoint, Power Platform, or similar environments.
Experience building Power BI, Excel, Python, or similar dashboards/reports for usage, quality, adoption, workflow status, or data-quality metrics.
Exposure to automotive, manufacturing, warranty, service, aftermarket, vehicle compliance, defect investigation, or field-quality data and related signals for product-quality decisions.
Experience documenting requirements, test results, defects, user feedback, known limitations, or adoption materials in Jira, Azure DevOps, Confluence, SharePoint, or similar tools.
Exposure to structured problem-solving, quality improvement, or engineering root-cause analysis methods.

Compensation: USD 71,000 - 91,000 per year.

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1mo ago

AI Developer / Generative AI Engineer

Brooksource Allentown, PA

Allentown, PA

1mo ago Closed

$35 - $65/hr Contract Ai Automation Ai Engineer Artificial Intelligence

This position is no longer accepting applications (closed Sep 16, 2026).

Job Description

Brooksource is hiring an AI Developer / Generative AI Engineer for a contract-to-hire role in Allentown, PA (Hybrid).

Responsibilities

Design and build AI-powered applications and user interfaces using modern Generative AI technologies
Develop and optimize Python-based AI scripting and automation workflows
Use Microsoft Copilot capabilities to improve business processes and user experiences
Work with Large Language Models (LLMs) to develop, test, and implement AI-driven solutions
Collaborate with cross-functional teams to spot opportunities for AI adoption and innovation
Translate business requirements into scalable technical solutions
Evaluate and implement AI tools while aligning with organizational technology and licensing considerations
Troubleshoot, enhance, and maintain AI-enabled applications and integrations

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field
2-5 years of professional software development or AI-focused experience
Strong Python development and scripting experience
Experience building applications or user interfaces that leverage AI technologies
Hands-on experience with Generative AI tools and concepts
Strong problem-solving skills with the ability to think critically and connect complex technical concepts
Excellent communication and collaboration skills

Preferred Qualifications

Experience working with Large Language Models (LLMs)
Experience with Microsoft Copilot technologies and integrations
Familiarity with AI application architecture and prompt engineering best practices
Experience developing AI-powered automation or workflow solutions

Technologies

Python
Microsoft Copilot
Large Language Models (LLMs)
Generative AI

Location, Type, and Compensation

Location: Hybrid remote in Allentown, PA 18101
Onsite expectation: approximately 3 days onsite per week
Work arrangement: contract (contract-to-hire)
Pay: USD $35.00 - $65.00 per hour
Local requirement: candidates should be local to the Allentown, PA area and able to come onsite as needed

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