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 Active Directory Good to have skills : NA Minimum 3 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 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 implementing and managing enterprise-grade security & compliance across the various workplace platforms such as Microsoft 365, Google Workspace, and cloud environments (Azure, AWS, GCP). 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. Key Responsibilities: Expected to perform independently and become an SME. Engage in end-to-end AI-enabled project delivery: requirement gathering, 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 Professional & Technical Skills: Demonstrated capacity to align technical AI concepts with business objectives, while ensuring projects are delivered on schedule. 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) Implementation 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 Improve the Digital Experience scores for business Must Have Skills: Proficiency in – Microsoft (EntraID, M365 Security Suite, Sentinel), OneIdentity & Pingidentity Worked on Intune/MECM, Gsuite, Omnissa, Windows11, MacOS, Linux platforms Ability to analyze business requirements and translate them into technical specifications. Familiarity with integration techniques and tools within the Workplace Cloud Platforms 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 AWS: Cloud Practitioner or Associate-level certification Associate Google Workspace Administrator certification Certified DevOps Engineer certifications (AWS, Azure, or Google) Preferred Microsoft Certified: Azure Solutions Architect Expert AWS Certified Solutions Architect – Professional Google Professional Cloud Architect Additional Information: - The candidate should have minimum 3 years of experience in Workplace Security Resource needs to be AI Ready.

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