Technology Support Engineer job opportunity at Accenture Plc.



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Accenture Plc Technology Support Engineer
Experience: General
Pattern: full-time
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Information Technology Operations

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degreeBachelor's (B.Sc.)
loacation Gurugram, India
loacation Gurugram....India

Project Role : Technology Support Engineer Project Role Description : Resolve incidents and problems across multiple business system components and ensure operational stability. Create and implement Requests for Change (RFC) and update knowledge base articles to support effective troubleshooting. Collaborate with vendors and help service management teams with issue analysis and resolution. Must have skills : Workplace Technology Solutions Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: Cognitive Workplace Security Full Stack Engineer : 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 Collaboration 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 Security processes, driving the next generation of enterprise automation and intelligence The role involves designing, implementing, and managing enterprise-grade security & compliance across the various workplace security platforms such as Microsoft 365 Security. The engineer will work closely with cross-functional IT teams, business stakeholders, and vendor partners to deliver secure, scalable, and high-performing collaboration solutions that enable seamless communication and productivity for our global workforce. Roles & 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 Professional & Technical Skills: 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 Ability to improve the Digital Experience scores for business Must Have Skills : Proficiency in Microsoft Services like (Microsoft Entra ID, Microsoft 365 Security Suite, Sentinel) Experience in on-prim identity solutions like Microsoft Active Directory Experience in Azure App Proxy, Microsoft Identity & Access Management Familiarity with scripting tools like PowerShell, Ansible & Terraform Familiarity with Azure DevOps Ability to analyze business requirements and translate them into technical specifications. Familiarity with integration techniques and tools within the Workplace Cloud Security ecosystem Ensure compliance with security best practices and organizational policies. Strong problem-solving skills, analytical thinking, and ability to manage complex hybrid environments. Excellent communication and stakeholder management skills. Certifications (Required / Preferred): Required Microsoft: SC-200, SC-300, AZ-104, AZ-900, MS-500, or equivalent Certified DevOps Engineer certifications (Azure) Preferred Microsoft Certified: Azure Solutions Architect Expert Additional Information: - The candidate should have minimum 5 years of experience in Workplace Technology Solutions. - This position is based at our Gurugram office. - A 15 years full time education is required. - The candidate should have minimum 5/3 years of experience in Workplace Security for L9.

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