Full Stack Engineer

Overview

Develop AI-enabled workplace security solutions across M365, Google Workspace & cloud.

Key Responsibilities

• ai platforms
• copilot design
• langchain rag
• project delivery
• security compliance
• workshops

Tasks

-Work with real-time AI platforms, integrating AI insights into enterprise decision-making workflows -Ensure compliance with security best practices and organizational policies. -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 -Engage in end-to-end AI-enabled project delivery: requirement gathering, solution design, implementation, testing, and business adoption. -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

• azure
• aws
• google cloud
• devops
• genai
• intune

What You Bring

-Ability to analyze business requirements and translate them into technical specifications. -Microsoft: SC-200, SC-300, AZ-104, AZ-900, MS-500, or equivalent -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: -Experience in automation leveraging Devops pipelines and manage CI/CD workflows with tools such as Jenkins, GitLab CI, or GitHub Actions -Certified DevOps Engineer certifications (AWS, Azure, or Google) Preferred -Familiarity with integration techniques and tools within the Workplace Cloud Platforms ecosystem -AWS: Cloud Practitioner or Associate-level certification -Hands-on experience in GenAI (LLMs, embeddings, vector databases) and Agentic AI applications (multi-agent systems, planning, reasoning) – demonstrated through project implementations -Experience in Implementing collaboration governance frameworks including retention, compliance, and DLP -Associate Google Workspace Administrator certification -Expertise in Intune/MECM, Gsuite, Omnissa, Windows11, MacOS, Linux platforms -Google Professional Cloud Architect Additional Information: - The candidate should have minimum 5 years of experience in Workplace Security -Strong proficiency in – Microsoft (EntraID, M365 Security Suite, Sentinel), OneIdentity & Pingidentity -Microsoft Certified: Azure Solutions Architect Expert -Expected to perform independently and become an SME. -Expected to provide solutions to problems that apply across multiple teams -Excellent communication and stakeholder management skills. Certifications (Required / Preferred): Required -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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