Workplace Management Practitioner
Gurugram
Job No. atci-5376808-s1997068
Full-time
工作描述
Project Role : Workplace Management Practitioner
Project Role Description : Oversee workplace services across locations, managing space planning, facilities, safety compliance, and onsite support. Leverage tools, data, and solutions to deliver efficient, high-quality environments. Ensure safe, functional, and well-managed workplaces that enable employee productivity and support business needs
Must have skills : Workplace Solutions
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Job Summary - CL9
We are seeking an experienced Azure Virtual Desktop (AVD) & Microsoft Intune Team Lead to lead the design, deployment, security, and operations of enterprise virtual desktop and endpoint management environments using Microsoft Azure, Azure Virtual Desktop, and Microsoft Intune.
The ideal candidate will provide technical leadership, manage a team of engineers, and ensure secure, scalable, and cost-optimized virtual desktop and modern device management solutions aligned with business goals.
Oversee device management strategy using Microsoft Intune:
We are seeking a forward-thinking professional with AI-first mindset to design, develop, and deploy intelligent frameworks leveraging Generative AI (GenAI) and Agentic AI frameworks within Workplace Endpoint Platforms. The ideal candidate should have a strong understanding of various Business Functions, a passion for innovation in AI, and rich experience with delivering enterprise grade technology solutions using Gen AI / Agentic AI Frameworks. This role requires the ability to conceptualize and implement AI-driven enhancements to traditional Workplace Endpoint management processes, driving the next generation of enterprise automation and intelligence.
The role involves designing, implementing, and managing enterprise endpoints (physical & Virtual) & apps across cloud and hybrid platforms. Responsibilities include modern device management with cloud foundations on M365. The engineer will work closely with cross-functional IT teams, business stakeholders, and vendor partners to deliver secure, scalable, and high-performing solutions that enable seamless end user experience.
Key Responsibilities
Expected to be a Subject Matter Expert with deep knowledge and experience
While the business situation / problem is given you will have responsibility to visualize innovative solutions leveraging GenAI & Agentic architecture and the best of available technologies from Microsoft, Google, AWS and other providers.
Engage in end-to-end AI-enabled project delivery: requirement gathering, solution design, implementation, testing, and business adoption.
Work with real-time AI platforms, integrating AI insights into enterprise decision-making workflows
Should have influencing and advisory skills
Responsible for team decisions
Engage with multiple teams and contribute on key decisions
Expected to provide solutions to problems that apply across multiple teams
Facilitate workshops and discussions to gather requirements and feedback from stakeholders
Mentor junior professionals and assist in their development and understanding of application processes
Required Qualifications
Ability to bridge technical AI concepts with business goals, ensuring timely delivery and stakeholder alignment.
Hands-on experience in GenAI (LLMs, embeddings, vector databases) and Agentic AI applications (multi-agent systems, planning, reasoning) demonstrated through project implementations
Strong fundamental knowledge of AI lifecycle, data analysis, statistical concepts of ML algorithms (supervised and unsupervised learning) and AI concepts of NN (Neural Networks) and NLP (Natural Language Processing)
Designing Copilot prompts and copilots for workplace scenarios orchestrating LangChain RAG workflows grounded in approved content
Solid grasp of prompt engineering, AI evaluation frameworks, value realization in AI projects
Experience in Implementing collaboration governance frameworks including retention, compliance, and DLP
Experience in automation leveraging DevOps pipelines and manage CI/CD workflows with tools such as Jenkins, GitLab CI, or GitHub Actions
Ability to improve the Digital Experience scores for business
Architect and manage Azure Virtual Desktop (pooled & personal host pools).
Lead implementation of:
Host Pools, App Groups, Workspaces
Session host image management (Golden Image strategy)
Oversee device management strategy using Microsoft Intune:
MDM & MAM configuration
Windows Autopilot
Compliance & configuration policies
Application deployment & patching
Integrate AVD & Intune with:
Microsoft Entra ID
Active Directory
Design secure networking (VNet, NSG, VPN, ExpressRoute).
Operations & Optimization
Monitor AVD and endpoint performance using Azure Monitor and Endpoint Analytics.
Optimize Azure costs and licensing usage.
Automate deployments using PowerShell, ARM, Bicep, or Terraform.
Ensure high availability and disaster recovery strategies.
Produce executive dashboards and capacity planning reports.
Key Performance Indicators (KPIs)
AVD & Endpoint uptime / SLA compliance
Device compliance rate
Security incident reduction
Cost optimization targets
User experience metrics (login time, performance)
Team productivity & knowledge growth
Must Have Skills:
Expertise in Desktop Virtualization Platforms like
VMware Horizon
Citrix & Netscaler Administration
Microsoft Azure Virtual Desktop
Microsoft Windows 365
Conversant in PowerShell, Python, AzureDevOps, Terraform
Expertise with Orchestration tools like:
Ivanti Endpoint Management
Omnissa WorkspaceOne Administration
Expertise in PowerShell, Ansible, Python & Terraform
Proficiency in Microsoft Intune, MECM and Microsoft 365.
Experience in endpoint applications lifecycle management
Working experience in Digital experience tools like Nexthink
Ability to analyze business requirements and translate them into technical specifications.
Familiarity with integration techniques and tools within the Workplace Cloud Platforms ecosystem
Strong problem-solving skills, analytical thinking, and ability to manage complex hybrid environments.
Excellent communication and stakeholder management skills.
Ability to interface with CxO suite and define the IT roadmap for EUC.
Must actively conceptualize and run Pos, contribute to assets and accelerators.
Must Publish Point of View Papers
Certifications (Required / Preferred)
Microsoft Certified: Agentic AI Business Solutions Architect (AB-100) (currently in beta at the time of writing but required after it becomes generally available)
Ivanti Certified Administrator Modern Device Management / Endpoint Management
Omnissa Certified Administrator Horizon
Omnissa Certified Administrator WorkspaceOne
Citrix DaaS/CVAD Associate or Professional (preferred).
Nexthink certification (preferred).
HashiCorp Terraform Associate and/or Microsoft Cybersecurity certifications (preferred).
Additional Information:
- The candidate should have minimum 5 years of experience in Workplace Solutions.
- This position is based at our Gurugram office.
- A 15 years full time education is required.
- AI Powered Tech Talent
Project Role Description : Oversee workplace services across locations, managing space planning, facilities, safety compliance, and onsite support. Leverage tools, data, and solutions to deliver efficient, high-quality environments. Ensure safe, functional, and well-managed workplaces that enable employee productivity and support business needs
Must have skills : Workplace Solutions
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Job Summary - CL9
We are seeking an experienced Azure Virtual Desktop (AVD) & Microsoft Intune Team Lead to lead the design, deployment, security, and operations of enterprise virtual desktop and endpoint management environments using Microsoft Azure, Azure Virtual Desktop, and Microsoft Intune.
The ideal candidate will provide technical leadership, manage a team of engineers, and ensure secure, scalable, and cost-optimized virtual desktop and modern device management solutions aligned with business goals.
Oversee device management strategy using Microsoft Intune:
We are seeking a forward-thinking professional with AI-first mindset to design, develop, and deploy intelligent frameworks leveraging Generative AI (GenAI) and Agentic AI frameworks within Workplace Endpoint Platforms. The ideal candidate should have a strong understanding of various Business Functions, a passion for innovation in AI, and rich experience with delivering enterprise grade technology solutions using Gen AI / Agentic AI Frameworks. This role requires the ability to conceptualize and implement AI-driven enhancements to traditional Workplace Endpoint management processes, driving the next generation of enterprise automation and intelligence.
The role involves designing, implementing, and managing enterprise endpoints (physical & Virtual) & apps across cloud and hybrid platforms. Responsibilities include modern device management with cloud foundations on M365. The engineer will work closely with cross-functional IT teams, business stakeholders, and vendor partners to deliver secure, scalable, and high-performing solutions that enable seamless end user experience.
Key Responsibilities
Expected to be a Subject Matter Expert with deep knowledge and experience
While the business situation / problem is given you will have responsibility to visualize innovative solutions leveraging GenAI & Agentic architecture and the best of available technologies from Microsoft, Google, AWS and other providers.
Engage in end-to-end AI-enabled project delivery: requirement gathering, solution design, implementation, testing, and business adoption.
Work with real-time AI platforms, integrating AI insights into enterprise decision-making workflows
Should have influencing and advisory skills
Responsible for team decisions
Engage with multiple teams and contribute on key decisions
Expected to provide solutions to problems that apply across multiple teams
Facilitate workshops and discussions to gather requirements and feedback from stakeholders
Mentor junior professionals and assist in their development and understanding of application processes
Required Qualifications
Ability to bridge technical AI concepts with business goals, ensuring timely delivery and stakeholder alignment.
Hands-on experience in GenAI (LLMs, embeddings, vector databases) and Agentic AI applications (multi-agent systems, planning, reasoning) demonstrated through project implementations
Strong fundamental knowledge of AI lifecycle, data analysis, statistical concepts of ML algorithms (supervised and unsupervised learning) and AI concepts of NN (Neural Networks) and NLP (Natural Language Processing)
Designing Copilot prompts and copilots for workplace scenarios orchestrating LangChain RAG workflows grounded in approved content
Solid grasp of prompt engineering, AI evaluation frameworks, value realization in AI projects
Experience in Implementing collaboration governance frameworks including retention, compliance, and DLP
Experience in automation leveraging DevOps pipelines and manage CI/CD workflows with tools such as Jenkins, GitLab CI, or GitHub Actions
Ability to improve the Digital Experience scores for business
Architect and manage Azure Virtual Desktop (pooled & personal host pools).
Lead implementation of:
Host Pools, App Groups, Workspaces
Session host image management (Golden Image strategy)
Oversee device management strategy using Microsoft Intune:
MDM & MAM configuration
Windows Autopilot
Compliance & configuration policies
Application deployment & patching
Integrate AVD & Intune with:
Microsoft Entra ID
Active Directory
Design secure networking (VNet, NSG, VPN, ExpressRoute).
Operations & Optimization
Monitor AVD and endpoint performance using Azure Monitor and Endpoint Analytics.
Optimize Azure costs and licensing usage.
Automate deployments using PowerShell, ARM, Bicep, or Terraform.
Ensure high availability and disaster recovery strategies.
Produce executive dashboards and capacity planning reports.
Key Performance Indicators (KPIs)
AVD & Endpoint uptime / SLA compliance
Device compliance rate
Security incident reduction
Cost optimization targets
User experience metrics (login time, performance)
Team productivity & knowledge growth
Must Have Skills:
Expertise in Desktop Virtualization Platforms like
VMware Horizon
Citrix & Netscaler Administration
Microsoft Azure Virtual Desktop
Microsoft Windows 365
Conversant in PowerShell, Python, AzureDevOps, Terraform
Expertise with Orchestration tools like:
Ivanti Endpoint Management
Omnissa WorkspaceOne Administration
Expertise in PowerShell, Ansible, Python & Terraform
Proficiency in Microsoft Intune, MECM and Microsoft 365.
Experience in endpoint applications lifecycle management
Working experience in Digital experience tools like Nexthink
Ability to analyze business requirements and translate them into technical specifications.
Familiarity with integration techniques and tools within the Workplace Cloud Platforms ecosystem
Strong problem-solving skills, analytical thinking, and ability to manage complex hybrid environments.
Excellent communication and stakeholder management skills.
Ability to interface with CxO suite and define the IT roadmap for EUC.
Must actively conceptualize and run Pos, contribute to assets and accelerators.
Must Publish Point of View Papers
Certifications (Required / Preferred)
Microsoft Certified: Agentic AI Business Solutions Architect (AB-100) (currently in beta at the time of writing but required after it becomes generally available)
Ivanti Certified Administrator Modern Device Management / Endpoint Management
Omnissa Certified Administrator Horizon
Omnissa Certified Administrator WorkspaceOne
Citrix DaaS/CVAD Associate or Professional (preferred).
Nexthink certification (preferred).
HashiCorp Terraform Associate and/or Microsoft Cybersecurity certifications (preferred).
Additional Information:
- The candidate should have minimum 5 years of experience in Workplace Solutions.
- This position is based at our Gurugram office.
- A 15 years full time education is required.
- AI Powered Tech Talent
职位要求
15 years full time education
