About The Role

As a Full Stack Engineer at Accenture, you will engineer end-to-end system features, from user experience to backend code. You will utilize your development skills to deliver innovative solutions that enhance client services, embracing new technologies and a cloud-first, agile approach to solve challenging business problems.

This role requires a strong understanding of various business functions and a passion for AI innovation. You will have rich experience in delivering enterprise-grade technology solutions using Gen AI / Agentic AI Frameworks. Your responsibilities will include conceptualizing and implementing AI-driven enhancements to traditional Workplace Security processes, driving the next generation of enterprise automation and intelligence.

You will be instrumental in designing, implementing, and managing enterprise-grade security & compliance across workplace platforms like Microsoft 365, Google Workspace, and cloud environments (Azure, AWS, GCP). Collaboration with cross-functional IT teams, business stakeholders, and vendor partners is key to delivering secure, scalable, and high-performing collaboration solutions for our global workforce.

Key Responsibilities

• Act as a Subject Matter Expert (SME) and perform independently.
• Engage in end-to-end AI-enabled project delivery, including requirement gathering, solution design, implementation, testing, and business adoption.
• Work with real-time AI platforms, integrating AI insights into enterprise decision-making workflows.
• Provide influencing and advisory skills, and be responsible for team decisions.
• Engage with multiple teams and contribute to key decisions, offering solutions that span across 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).
• Proficiency in designing Copilot prompts and copilots for workplace scenarios, and orchestrating LangChain RAG workflows grounded in approved content.
• Solid grasp of prompt engineering, AI evaluation frameworks, and 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 Digital Experience scores for businesses.

Must-Have Skills

• Strong proficiency in Microsoft technologies including Entra ID, M365 Security Suite, Sentinel, OneIdentity & PingIdentity.
• Expertise in Intune/MECM, Gsuite, Omnissa, Windows 11, MacOS, and 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.
• Ensuring compliance with security best practices and organizational policies.
• Strong problem-solving skills, analytical thinking, and the ability to manage complex hybrid environments.
• Excellent communication and stakeholder management skills.

Required Certifications

• 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 Certifications

• Microsoft Certified: Azure Solutions Architect Expert.
• AWS Certified Solutions Architect – Professional.
• Google Professional Cloud Architect.

Additional Information

The candidate should have a minimum of 5 years of experience in Workplace Security.