Workplace Management Practitioner

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