Cloud Platform Engineer

Overview

Cloud Platform Engineer

Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance.

Must have skills : Microsoft Endpoint Configuration Manager

Good to have skills : NA

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

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 perform independently and become an SME.
• 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
• 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
  
  
  

• 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 managing CI/CD workflows with tools such as Jenkins, GitLab CI, or GitHub Actions
• Exceptionally skilled in AgenticAI tools like CrewAI / Copilot Studio and other industry leading tools.
• Ability to improve the Digital Experience scores for business
  
  
  

Must Have Skills:

• Proficient in Application Packaging with AdminStudio or Advanced Installer
• Conversant in PowerShell, Python, AzureDevOps, Terraform
• Proficiency in Microsoft Intune, MECM and Microsoft 365.
• Experience with Virtual Desktop solutions like Citrix, Microsoft Azure Virtual Desktop, Microsoft Windows 365.
• Experience in endpoint applications lifecycle management
• Working experience in Digital experience tools like Nexthink, 1E Tachyon
• 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.
  
  
  

• Microsoft Certified: Intune (MD 102) or equivalent endpoint certification (required or within 6 months).
• Microsoft Certified: Agentic AI Business Solutions Architect (AB-100) (currently in beta at the time of writing but required after it becomes generally available)
• AWS Certified Cloud Practitioner (preferred).
• 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 Endpoint services with M365. Resource needs to be AI Ready., 15 years full time education