Senior Technical Specialist

HCL Technologies Limited

Minnesota

Hybrid

USD 150,000 - 200,000

Full time

8 hours ago
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Job summary

HCL Technologies Limited is seeking a Lead Copilot Engineer to spearhead the design and deployment of Microsoft Copilot solutions across the enterprise. You will drive AI transformation, mentor teams, and partner with business stakeholders to deliver scalable, secure AI-driven workflows.

The role emphasizes governance, integration with ERP/CRM systems, and advanced AI capabilities using Copilot Studio, Power Platform, and Azure AI Services.

Qualifications

  • 8-12+ years of experience, including AI/Automation or Modern Workplace solutions
  • Lead architecture, design, and pilot Copilot implementations
  • Strong stakeholder communication and governance skills
  • Experience with enterprise data integration and security practices

Responsibilities

  • Lead the architecture, development, and deployment of Copilot solutions
  • Define standards, governance, and best practices for Copilot programs
  • Mentor Copilot engineers and drive technical excellence
  • Collaborate with business units to identify AI use cases and roadmaps
  • Integrate Copilot solutions with SAP, ServiceNow, Salesforce, Workday and other systems
  • Develop plugins, connectors, and APIs; optimize prompts and workflows
  • Ensure security, privacy, and Responsible AI compliance

Skills

Microsoft Copilot
Azure AI Services
Power Platform
Enterprise integrations
Technical leadership
RAG architecture
APIs & connectors
Governance & security

Education

Bachelor's degree in Computer Science or related field

Tools

Copilot Studio
SAP
ServiceNow
Salesforce
Workday
Microsoft Graph APIs

Job description

Career Opportunities: Senior Technical Specialist (188437)

Requisition ID188437-Posted11/06/2026

ob Description (JD) – Lead Copilot Engineer
Job Title
Lead Copilot Engineer (Microsoft Copilot & Generative AI)
Experience

8-12+ Years (including 3+ years in AI, Automation, or Modern Workplace solutions)

Location

Hybrid / Remote / Onsite

Key Responsibilities
Role Summary

We are looking for a highly experienced Lead Copilot Engineer to lead the design, implementation, and adoption of Microsoft Copilot solutions across the enterprise. The role requires strong expertise in Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI Services, and enterprise integrations. The candidate will drive AI transformation initiatives, mentor engineering teams, define best practices, and work closely with business stakeholders to deliver impactful AI-powered solutions

Skill Requirements
Key Responsibilities
Technical Leadership
  • Lead the architecture, development, and deployment of Microsoft Copilot solutions.
  • Define enterprise standards, governance, and best practices for Copilot implementations.
  • Provide technical leadership and mentoring to Copilot engineers and developers.
  • Conduct architecture reviews and design assessments.
  • Design and implement solutions using Microsoft 365 Copilot and Copilot Studio.
  • Build custom copilots, AI assistants, and conversational experiences.
  • Develop and optimize prompts, workflows, and knowledge-grounded AI solutions.
  • Implement Retrieval-Augmented Generation (RAG) architectures using enterprise data sources.
Integration & Automation
  • Integrate Copilot solutions with enterprise applications such as SAP, ServiceNow, Salesforce, Workday, and other business systems.
  • Develop custom plugins, connectors, APIs, and extensions.
  • Utilize Power Platform to automate business processes and improve productivity.
  • Leverage Microsoft Graph APIs and Azure services for advanced integrations.
Stakeholder Management
  • Collaborate with business leaders to identify AI use cases and define roadmaps.
  • Translate business requirements into scalable technical solutions.
  • Present solution designs, business value, and implementation strategies to leadership teams.
  • Drive user adoption and change management initiatives.
Governance & Security
  • Ensure compliance with enterprise security, privacy, and Responsible AI standards.
  • Implement governance controls for Copilot applications and data access.

Monitor solution performance, usage analytics, and optimization opportunities

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