Full Stack Engineer

Overview

Develop AI-driven endpoint management solutions on M365, Azure, AWS

Key Responsibilities

• ai integration
• copilot design
• langchain rag
• project delivery
• requirement gathering
• stakeholder workshops

Tasks

-Work with real-time AI platforms, integrating AI insights into enterprise decision-making workflows -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 Required Qualifications -Engage in end-to-end AI-enabled project delivery: requirement gathering, solution design, implementation, testing, and business adoption. -Facilitate workshops and discussions to gather requirements and feedback from stakeholders

Requirements

• citrix
• intune
• aws
• devops
• genai
• 5+ years

What You Bring

-Strong hands-on experience with Virtual Desktop solutions like Citrix, AVD, W365, Omnissa and other platforms -Ability to analyze business requirements and translate them into technical specifications. -Strong problem-solving skills, analytical thinking, and ability to manage complex hybrid environments. -Expertise in EntraID & M365 Services Like Intune/MECM, Google Suite & AWS -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 -Experience in endpoint applications lifecycle management -Microsoft Certified: Intune (MD 102) or equivalent endpoint certification (required or within 6 months). -Excellent communication and stakeholder management skills. Certifications (Required / Preferred) -AWS Certified Cloud Practitioner (preferred). -Familiarity with integration techniques and tools within the Workplace Cloud Platforms ecosystem -Working experience in Digital experience tools like Nexthink, IE Tachyon -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 -Nexthink certification (preferred). -Microsoft Certified: Agentic AI Business Solutions Architect (AB-100) (currently in beta at the time of writing but required after it becomes generally available) -Citrix DaaS/CVAD Associate or Professional (preferred). -Expected to perform independently and become an SME. -Expected to provide solutions to problems that apply across multiple teams -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 -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. -Should have influencing and advisory skills

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