Full Stack Engineer job opportunity at Accenture Plc.

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Accenture Plc Full Stack Engineer
Experience: General
Pattern: full-time
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Software Engineering

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

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 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 Ability to improve the Digital Experience scores for business Must Have Skills: Proficiency in EntraID & M365 Services Like Intune/MECM, Google Suite & AWS Experience with Virtual Desktop solutions like Citrix, AVD, W365, Omnissa and other platforms Experience in endpoint applications lifecycle management Working experience in Digital experience tools like Nexthink, IE 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, Google Suite & AWS. Resource needs to be AI Ready.

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