Full Stack Engineer

Overview

Design, develop, and deploy AI‑enabled collaboration solutions across M365, Google Workspace, and cloud platforms

Key Responsibilities

• ai integration
• prompt design
• rag workflows
• project delivery
• stakeholder workshops
• mentoring

Tasks

-Work with real-time AI platforms, integrating AI insights into enterprise decision-making workflows -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. -Engage with multiple teams and contribute on key decisions -Designing Copilot prompts and copilots for workplace scenarios; orchestrating LangChain RAG workflows grounded in approved content -Responsible for team decisions -Mentor junior professionals and assist in their development and understanding of application processes Professional & Technical Skills: -Facilitate workshops and discussions to gather requirements and feedback from stakeholders

Requirements

• teams admin
• devops pipelines
• azure fundamentals
• aws cloud
• genai
• m365 services

What You Bring

-Ability to analyze business requirements and translate them into technical specifications. -Strong problem-solving skills, analytical thinking, and ability to manage complex hybrid environments. -Ability to improve the Digital Experience scores for business Must Have Skills: -Microsoft Certified: Teams Administrator Associate (MS-700) -Experience in automation leveraging Devops pipelines and manage CI/CD workflows with tools such as Jenkins, GitLab CI, or GitHub Actions -Azure Fundamentals (AZ-900) Preferred: -Microsoft Security, Compliance, and Identity Fundamentals (SC-900) -Microsoft 365 Certified: Enterprise Administrator Expert (MS-100/MS-102) -Excellent communication and stakeholder management skills. Certifications (Required / Preferred): Required: -AWS Certified Cloud Practitioner -Familiarity with integration techniques and tools within the Workplace Cloud Platforms ecosystem -Hands-on experience in GenAI (LLMs, embeddings, vector databases) and Agentic AI applications (multi-agent systems, planning, reasoning) – demonstrated through project implementations -Expertise in EntraID & M365 Services including Productivity Apps. , Google Suite & AWS -Experience in Implementing collaboration governance frameworks including retention, compliance, and DLP -Quest / Sharegate product certifications (if available) Additional Information: - The candidate should have minimum 3 years of experience in Workplace collaboration services with M365, Google Suite & AWS. -Microsoft 365 Certified: Fundamentals (MS-900) -Expected to provide solutions to problems that apply across multiple teams -Strong hands-on experience with Enterprise Voice & Contact Center solutions like Teams, Cisco, Zoom etc -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) -Ability to bridge technical AI concepts with business goals, ensuring timely delivery and stakeholder alignment. -Solid grasp of prompt engineering, AI evaluation frameworks, value realization in AI projects -Should have influencing and advisory skills

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