D-TechWorks - Copilot AI Engineer

D-Techworks; Gurugram District; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

D-Techworks in Gurgaon, India seeks a Copilot AI Engineer with 10-14 years of experience to lead enterprise Copilot integrations and AI governance initiatives. You will design Copilot agents, secure data flows, and collaborate with governance and security teams to scale AI adoption across the Microsoft ecosystem.

The role emphasizes hands-on work with Copilot, Copilot Studio, and Power Platform, delivering enterprise-ready AI-powered solutions with robust security and compliance controls.

Qualifications

• Strong knowledge of Microsoft 365 fundamentals, especially SharePoint Online and related M365 services.
• Hands-on experience with Copilot, Copilot Studio, AI Agents, and Agent Builder.
• Understanding of AI governance, policies, security, and responsible AI practices.
• Experience designing AI-powered enterprise solutions with secure integrations.

Responsibilities

• Design and build custom Copilot agents, plugins, Microsoft Graph connectors, and reusable integration patterns for enterprise use cases.
• Develop secure integrations with ERP, HRIS, ITSM, SharePoint, Microsoft 365, and other enterprise systems using APIs and governed data access patterns.
• Embed governance and security into every agent and integration by design, not bolt‑on.
• Own platform engineering patterns including reusable components, service documentation, deployment standards, and support handover models.
• Partner with governance, security, and business teams to convert demand into secure, scalable AI and automation solutions.
• Maintain CI/CD, testing, monitoring, logging, and code standards so platform services are reliable, observable, and ready for enterprise support.

Skills

AI Enablement

Power Platform

Governance & Compliance

Copilot & Agents

Microsoft 365 fundamentals

SharePoint Online

Security & Responsible AI

API integration

Tools

Copilot Studio

Microsoft Graph connectors

Azure Graph API

Power BI

Splunk

ALM

CI/CD tooling

Job description

Position Details

• Focus heavily on AI and the Microsoft Copilot ecosystem, based in Gurgaon, India.
• Strong knowledge of Microsoft 365 fundamentals, especially SharePoint Online and related M365 services.
• Primary expertise in Power Platform, AI Enablement, and Governance & Compliance.
• Hands‑on experience with Microsoft Copilot, Copilot Studio, AI Agents, and Agent Builder.
• Understanding of AI governance, policies, security, and responsible AI practices.
• Capable of driving AI adoption and automation initiatives within the Microsoft ecosystem.
• Practical experience implementing AI‑powered business solutions rather than only traditional M365 administration.

Job Title: Copilot AI Engineer

Experience: 10-14 years

Location: Gurgaon, India

Notice Period: Immediate-30 days

Program Context

• Copilot rollout & adoption: 250+ associates enabled in 2024, scaling organization‑wide including discoverability, knowledge base development, quick‑starts, adoption tracking, and 'Copilot insiders'.
• Copilot governance: Agents Governance & Admin Plan, Copilot Studio (security, monitoring, ALM), license‑intake with ROI capture, steering committees, Frontier / Agent 365.
• Automation and integration: 400+ hours/month/team saved through multi‑level approval flows, helpdesk automation, Azure Graph API meeting scheduling/transcripts, and Power Platform DLP automation covering 2,500+ app permissions.
• AI & analytics: AI Builder POC (transcript evidence rubric scoring), Azure AI Studio use cases, Splunk + Power BI usage analytics (M365 vs Google).

Core Responsibilities

• Design and build custom Copilot agents, plugins, Microsoft Graph connectors, and reusable integration patterns for enterprise use cases.
• Develop secure integrations with ERP, HRIS, ITSM, SharePoint, Microsoft 365, and other enterprise systems using APIs and governed data access patterns.
• Embed governance and security into every agent and integration by design, not bolt‑on.
• Own platform engineering patterns including reusable components, service documentation, deployment standards, and support handover models.
• Partner with governance, security, and business teams to convert demand into secure, scalable, supportable AI and automation solutions.
• Maintain CI/CD, testing, monitoring, logging, and code standards so platform services are reliable, observable, and ready for enterprise support.

Governance Guardrails

• Enforce DLP (data‑loss prevention) on agents.
• Apply role‑based access and least‑privilege principles.
• Gate the agent lifecycle with approval and review.
• Maintain audit logging and compliance reporting.