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D-TechWorks - Copilot AI Engineer

D-Techworks · Gurgaon, India

About this role

D-Techworks seeks a Copilot AI Engineer in Gurgaon, India, to design, build, integrate and govern enterprise AI agents and shared automation services. The role supports an existing, organization-wide Microsoft Copilot program by connecting AI capabilities securely to enterprise systems, data and governed workflows, using reusable engineering patterns.

Responsibilities

  • Build custom Copilot agents, plugins, Microsoft Graph connectors and reusable integrations for enterprise use cases.
  • Integrate with ERP, HRIS, ITSM, SharePoint, Microsoft 365 and other systems through APIs and governed data access.
  • Establish reusable components, documentation, deployment standards and support handover models. Work with governance, security and business teams to deliver scalable, supportable AI and automation solutions.
  • Maintain CI/CD, testing, monitoring, logging and code standards. Enforce data-loss prevention, role-based access, least privilege, agent approval and review, audit logging and compliance reporting.

Requirements and program context:

  • Requires 10–14 years of experience, strong Microsoft 365 fundamentals—especially SharePoint Online—and primary expertise in Power Platform, AI enablement, governance and compliance. Hands-on experience with Microsoft Copilot, Copilot Studio, AI Agents and Agent Builder is essential, along with knowledge of AI policies, security and responsible AI. The posting prioritizes practical implementation of AI-powered business solutions over traditional M365 administration. Its structured job data lists a bachelor's degree. The stated notice period is immediate to 30 days.
  • The existing program includes Copilot adoption, agent governance, automation, integrations and analytics. Cited work includes enabling 250+ associates in 2024; approval flows, helpdesk automation and Power Platform DLP automation covering 2,500+ app permissions; an AI Builder proof of concept; Azure AI Studio use cases; and Splunk and Power BI usage analytics. The posting reports automation savings of 400+ hours per month per team.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

Microsoft CopilotCopilot StudioAI AgentsAgent BuilderMicrosoft 365SharePoint OnlinePower PlatformMicrosoft GraphMicrosoft Graph connectorsAPIsERP integrationHRIS integrationITSM integrationAI governanceResponsible AIData loss preventionRole-based access controlCI/CDTestingMonitoringLoggingAI BuilderAzure AI StudioPower BISplunk

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A focused preparation guide, built around this job’s responsibilities and requirements.

✦ AI-generated guide
Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.
01

Understand the role

What matters most

  • Build enterprise Copilot agents

    The role designs and builds custom Copilot agents, plugins, Microsoft Graph connectors and reusable integration patterns. The posting emphasizes hands-on Copilot Studio, Agent Builder and AI-powered business solutions over traditional M365 administration.

  • Connect agents to governed enterprise data

    Develop secure API-based integrations with ERP, HRIS, ITSM, SharePoint Online and Microsoft 365, using governed data access patterns.

  • Build governance into delivery

    Every agent and integration must account for DLP, role-based access, least privilege, lifecycle approval and review, audit logging and compliance reporting.

  • Make services reusable and supportable

    Own reusable components, documentation, deployment standards and support handovers, while maintaining CI/CD, testing, monitoring, logging and code standards.

  • Deliver within an existing enterprise program

    Partner with governance, security and business teams to turn growing demand into scalable AI and automation solutions. The posting describes an active, organization-wide Copilot program spanning adoption, governance, integrations and analytics.

Likely challenges to think through

  • Balance delivery speed with security gates

    Likely challenge, not a confirmed problem: growing demand may press against the required access controls, DLP and agent approvals. Prepare a concrete account of how you would include those checks from design through release without treating governance as a late-stage blocker.

  • Reuse patterns across unlike systems

    Likely challenge, not a confirmed problem: ERP, HRIS, ITSM and M365 integrations may differ in data sensitivity and access models, while the role calls for reusable patterns. Prepare to explain what you would standardize and where an integration needs system-specific controls.

  • Extend live services without weakening support

    Likely challenge, not a confirmed problem: adding agents to an already active program while engineering demand grows may strain testing, observability and handovers. Prepare an example of how you would verify a change, detect failures and transfer support ownership.

03

Practice your answers

Technical practice

How would you design a custom Copilot agent for an enterprise workflow?

What to coverSuggested preparation: Explain how you would define the agent’s purpose, choose between Copilot Studio and Agent Builder capabilities, and connect it to governed data and actions. Address permission boundaries, approval before release, and how you would test whether it delivers the intended business outcome.

When would you use a Microsoft Graph connector rather than an agent plugin?

What to coverSuggested preparation: Distinguish making enterprise content available to Copilot from enabling an agent to perform an action. Discuss data freshness, access controls, and maintainability when choosing an integration pattern.

How would you make SharePoint Online content useful to an agent without exposing restricted information?

What to coverSuggested preparation: Describe how you would assess content quality, Microsoft 365 permissions, and the agent’s access to source material. Explain how you would test responses against what different users are authorized to see.

How would you integrate an agent securely with an ERP, HRIS, or ITSM system?

What to coverSuggested preparation: Walk through API access, identity and authorization, data minimization, and failure handling for one of the system types named in the posting. Explain the trade-off between a reusable integration and a workflow-specific connection.

How would you apply Power Platform DLP controls to an agent-enabled automation?

What to coverSuggested preparation: Explain how you would review the data and connectors involved, enforce applicable DLP boundaries, and test that the automation still works. Discuss how you would handle a business request that conflicts with a control.

How would you enforce role-based access and least privilege across an agent and its integrations?

What to coverSuggested preparation: Separate user permissions from the permissions granted to the agent and its connected services. Describe how you would verify authorized and unauthorized paths, especially when the agent can act on enterprise data.

What would an agent approval and review process need to check before and after deployment?

What to coverSuggested preparation: Cover purpose, data access, responsible AI risks, security controls, and an auditable approval decision. Explain what changes or observed behavior would warrant another review; the posting specifies approval and review gates but not a particular procedure.

How would you test and deploy changes to a Copilot agent or shared integration?

What to coverSuggested preparation: Outline CI/CD checks for code quality, permissions, integration behavior, and regressions before deployment. Discuss how deployment standards and rollback planning could reduce risk for services already in use.

How would you diagnose a drop in agent reliability or usage after release?

What to coverSuggested preparation: Explain how monitoring, logs, and usage analytics would help distinguish integration failures, access issues, and adoption problems. The posting mentions Splunk and Power BI usage analytics; describe what evidence you would examine without assuming a specific dashboard or alerting setup.

How would you turn a one-off automation into a supportable shared service?

What to coverSuggested preparation: Identify which components and integration patterns are worth reusing, and what deployment and service documentation they need. Explain the trade-off between standardization and flexibility, including what a support handover should make clear.

Behavioural practice

Tell me about a time you translated a business automation request into a secure technical solution.

What to coverSuggested preparation: Use a situation, your actions, and the result to show how you worked with business and security stakeholders. Explain how you resolved competing needs rather than describing the implementation alone.

Describe a time you had to challenge a proposed integration because of data access or compliance concerns.

What to coverSuggested preparation: Set out the situation, the risk you identified, the action you took, and the result. Focus on how you sought a workable alternative while preserving the necessary control.

Give an example of scaling an existing service when demand exceeded the team’s capacity.

What to coverSuggested preparation: Describe the situation, your prioritization and engineering actions, and the result. Highlight any reusable patterns or support changes, since this role joins an established program with growing demand.

Tell me about a time you helped people adopt a new AI or automation capability.

What to coverSuggested preparation: Explain the situation, what you did to make the capability discoverable and usable, and the result. Distinguish evidence of meaningful use from rollout activity alone.

Describe a time you handed over a production automation or integration to a support team.

What to coverSuggested preparation: Cover the situation, your actions to document operation and troubleshooting, and the result for the receiving team. Explain what feedback or incidents taught you about making the service more supportable.

02

Sharpen your knowledge

Topics to prepare

  • Copilot agent architecture

    The posting requires hands-on Microsoft Copilot, Copilot Studio, AI Agents and Agent Builder, including custom agents and plugins. Suggested revision exercise: diagram an enterprise agent’s knowledge sources, actions, permissions and review points, then explain when a reusable plugin would help.

  • Microsoft 365 and SharePoint Online access

    Strong Microsoft 365 fundamentals, especially SharePoint Online, are explicit requirements. Suggested revision exercise: trace how an agent could access a SharePoint knowledge source and explain how existing access restrictions should affect its responses.

  • Governed enterprise integration

    The role connects agents to ERP, HRIS, ITSM, SharePoint and Microsoft 365 through APIs and governed data access. Suggested revision exercise: sketch the data flow for an ITSM-connected agent, identifying authentication, authorized operations and data boundaries.

  • AI governance and responsible AI

    The posting calls for AI policies, security, responsible AI, DLP, role-based access, least privilege, agent approval and review, audit logging, and compliance reporting. Suggested revision exercise: map each guardrail to a stage in an agent’s lifecycle and explain what evidence a reviewer would need.

  • Supportable platform engineering

    The role owns reusable components, deployment standards, documentation and support handover, alongside CI/CD, testing and observability. Suggested revision exercise: outline the release and support lifecycle for a shared agent integration, including failure detection and ownership after handover.

Skills to revise

  • Build a Copilot Studio agent

    The posting explicitly requires hands-on Copilot Studio and agent-building experience. Suggested practice: prototype a narrowly scoped helpdesk agent with a defined action, then demonstrate how you would test permitted and denied requests.

  • Implement a governed API integration

    Building plugins, Microsoft Graph connectors and reusable API integrations is a core responsibility. Suggested practice: design a small Graph or ITSM integration using sample data, documenting permissions, error handling and which parts could be reused.

  • Apply Power Platform security guardrails

    Power Platform expertise and DLP enforcement are explicit; the existing program also cites DLP automation. Suggested practice: work through an example agent deployment, record its data connections, proposed DLP controls, role access and approval checkpoints.

  • Test and operate an agent service

    The posting calls for CI/CD, testing, monitoring, logging and code standards. Suggested practice: draft a deployment checklist and test cases for access denial, integration failure and audit events; specify what a support team would monitor.

  • Document an enterprise handover

    Service documentation and support handover models are stated responsibilities. Suggested practice: write a one-page handover for the prototype covering purpose, dependencies, permissions, deployment steps, logs, failure response and review owner.

04

Your preparation checklist

  • Build a role-evidence map

    Prepare a one-page map of relevant work against the posting’s 10–14 years of experience, Microsoft 365 and SharePoint Online fundamentals, Power Platform, and hands-on Copilot, Copilot Studio, AI Agents and Agent Builder requirements. Note specific examples to discuss rather than relying on product names alone.

  • Prepare an agent project walkthrough

    Select a real AI-powered business solution you worked on, if available. Be ready to explain the use case, agent or plugin design, your contribution, deployment, measured outcome and lessons learned; the posting prioritizes implementation over traditional M365 administration.

  • Sketch a secure integration design

    As interview preparation, draw a hypothetical Copilot agent connected through an API or Microsoft Graph connector to SharePoint or an ERP, HRIS or ITSM system. Label data flows, access boundaries and reusable components, and explain your design choices.

  • Write a governance review checklist

    Show how you would check an agent for DLP, role-based access, least privilege, approval and review, audit logging, compliance reporting and responsible AI risks. These guardrails are explicit responsibilities in the posting.

  • Outline the path to enterprise support

    Prepare a brief release-and-operations plan covering CI/CD, tests, monitoring, logging, code standards, service documentation and support handover. Identify what evidence you would want before an agent goes live.

  • Rehearse a stakeholder decision example

    Prepare one example, if available, of working with business, security and governance teams to turn demand into a supportable automation solution. Explain the trade-offs and how you assessed adoption or value; the advertised program already spans rollout, governance, integrations and analytics.

  • Draft questions about the existing program

    Ask how agent requests are prioritized, who approves and reviews agents, which integrations need reusable patterns first, and how engineering hands services to support. The posting describes an active, organization-wide Copilot program rather than a greenfield effort.

AI-generated from the job information · Prepared Sep 30, 2026 (UTC)Useful preparation, not a guarantee of eligibility or an offer.

Availability last checked: 5 Nov 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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