Cloud Platform Engineer - AI and Endpoint Management Specialist

Cloud Platform Engineer Project Role : 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: AI Powered Tech Talent 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 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 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. Certifications (Required / Preferred) - 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 Cl