Job
Description
About The Role
Project Role :Full Stack Engineer
Project Role Description :Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills :Microsoft Intune
Good to have skills :NA
Minimum 5 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, Azure, AWS and Google. 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 Should have influencing and advisory skillsResponsible for team decisionsEngage with multiple teams and contribute on key decisionsExpected to provide solutions to problems that apply across multiple teamsFacilitate workshops and discussions to gather requirements and feedback from stakeholdersMentor junior professionals and assist in their development and understanding of application processesRequired
QualificationsAbility 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 implementationsStrong 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 contentSolid grasp of prompt engineering, AI evaluation frameworks, value realization in AI projectsExperience in Implementing collaboration governance frameworks including retention, compliance, and DLPExperience in automation leveraging DevOps pipelines and manage CI/CD workflows with tools such as Jenkins, GitLab CI, or GitHub ActionsAbility to improve the Digital Experience scores for businessMust Have
Skills:Expertise in EntraID & M365 Services Like Intune/MECM, Google Suite & AWS Strong hands-on experience with Virtual Desktop solutions like Citrix, AVD, W365, Omnissa and other platformsExperience in endpoint applications lifecycle management Working experience in Digital experience tools like Nexthink, IE TachyonAbility to analyze business requirements and translate them into technical specifications.Familiarity with integration techniques and tools within the Workplace Cloud Platforms ecosystemStrong 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, Google Suite & AWS. Qualification 15 years full time education
