Full Stack Engineer

About the Role

Project Role: Full Stack Engineer

Project Role Description: You will be responsible for developing and engineering end-to-end system features, from user experience to backend code. Utilize your development skills to deliver innovative solutions that help clients improve their services. Leverage new technologies to solve challenging business problems with a cloud-first and agile mindset.

Summary

We are seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy intelligent frameworks leveraging Generative AI (GenAI) and Agentic AI frameworks within Workplace Endpoint Platforms. The ideal candidate will possess a strong understanding of various business functions, a passion for AI innovation, and rich experience in delivering enterprise-grade technology solutions using GenAI/Agentic AI frameworks. This role demands the ability to conceptualize and implement AI-driven enhancements to traditional Workplace Endpoint management processes, driving the next generation of enterprise automation and intelligence.

The role involves designing, implementing, and managing enterprise endpoints (physical & virtual) and applications across cloud and hybrid platforms. Responsibilities include modern device management with cloud foundations on M365, Azure, AWS, and Google. You will collaborate closely with cross-functional IT teams, business stakeholders, and vendor partners to deliver secure, scalable, and high-performing solutions that enable a seamless end-user experience.

Key Responsibilities

• Expected to perform independently and become a Subject Matter Expert (SME).
• Engage in end-to-end AI-enabled project delivery: requirement gathering, solution design, implementation, testing, and business adoption.
• Work with real-time AI platforms, integrating AI insights into enterprise decision-making workflows.
• Possess influencing and advisory skills.
• Be responsible for team decisions.
• Engage with multiple teams and contribute to key decisions.
• Provide solutions to problems that apply across multiple 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.

Required Qualifications

• 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 Neural Networks (NN) and Natural Language Processing (NLP).
• Proficiency in designing Copilot prompts and copilots for workplace scenarios; 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 Data Loss Prevention (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 the business.

Must-Have Skills

• Expertise in Entra ID & M365 Services like Intune/MECM, Google Suite, and AWS.
• Strong hands-on experience with Virtual Desktop solutions like Citrix, Azure Virtual Desktop (AVD), Windows 365 (W365), Omnissa, and other platforms.
• Experience in endpoint applications lifecycle management.
• Working experience in Digital Experience tools like Nexthink, IE Tachyon.
• Ability to analyze business requirements and translate them into technical specifications.
• Familiarity with integration techniques and tools within the Workplace Cloud Platforms ecosystem.
• Strong problem-solving skills, analytical thinking, and ability to manage complex hybrid environments.
• Excellent communication and stakeholder management skills.

Certifications (Required / Preferred)

• Microsoft Certified: Intune (MD-102) or equivalent endpoint certification (required or within 6 months).
• Microsoft Certified: Agentic AI Business Solutions Architect (AB-100) (currently in beta; required after general availability).
• AWS Certified Cloud Practitioner (preferred).
• Citrix DaaS/CVAD Associate or Professional (preferred).
• Nexthink certification (preferred).
• HashiCorp Terraform Associate and/or Microsoft Cybersecurity certifications (preferred).

Additional Information

The candidate should have a minimum of 5 years of experience in Workplace Endpoint services with M365, Google Suite, and AWS.

Qualification: 15 years of full-time education.