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 to be AI Ready.