Infra Tech Support Practitioner

Project Role : Infra Tech Support Practitioner Project Role Description : Provide L1–L2 technical support for infrastructure, systems, and applications in production and development environments, both remotely and onsite, following defined operating models and processes. Act as the primary interface with users/clients to accurately diagnose issues and deliver effective resolutions across infrastructure, operating systems, networks, and application platforms, ensuring service stability and quality support. Must have skills : Microsoft 365 Copilot Configuration and Roll Out Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education

Job 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 Digital Workplace 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 Infra Engineering Digital Workplace Migration Engineer is responsible for implementation and migration to various digital workplace platforms, while developing cognitive workplace solutions that impact end users. The Engineer will work closely with cross-functional IT teams, business stakeholders, and vendor partners to deliver secure, scalable, and migration approaches solutions that enable seamless end user experience.

Key Responsibilities

Expected to perform independently as 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 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