Full Stack Engineer

Project Role : Full Stack Engineer

Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.

Must have skills : Microsoft Intune

Good to have skills : NA

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

We are seeking a forward-thinking professional with AI-first mindset to develop and deploy intelligent frameworks leveraging Generative AI (GenAI) and Agentic AI frameworks within Workplace Endpoint Platforms. The ideal candidate should have a strong understanding of various Business Functions, a passion for innovation in AI, and rich experience with delivering enterprise grade technology solutions using Gen AI / Agentic AI Frameworks. This role requires 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 implementing and managing enterprise endpoints (physical & Virtual) & apps across cloud and hybrid platforms. Responsibilities include modern device management with cloud foundations on M365, Azure, AWS and Google. The engineer will work closely with cross-functional IT teams, business stakeholders, and vendor partners to deliver secure, scalable, and high-performing solutions that enable seamless end user experience.

Key Responsibilities

Expected to perform independently and become an SME.

Engage in end-to-end AI-enabled project delivery: requirement gathering, implementation, testing, and business adoption.

Work with real-time AI platforms, integrating AI insights into enterprise decision-making workflows

Should have influencing and advisory skills

Engage with multiple teams and contribute on key decisions

Expected to provide solutions to problems that apply across multiple teams

Discussions to gather requirements and feedback from stakeholders

Required Qualifications

Expertise in aligning AI concepts with business objectives and ensuring projects are delivered on schedule.

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)

Implementing Copilot prompts and copilots for workplace scenarios orchestrating LangChain RAG workflows grounded in approved content

Solid grasp of prompt engineering, & AI evaluation frameworks

Experience in Implementing collaboration governance frameworks including retention, compliance, and DLP

Experience in automation leveraging Devops pipelines and manage CI/CD workflows with tools such as Jenkins, GitLab CI, or GitHub Actions

Experience improving Digital Experience scores for businesses

Must Have Skills:

Proficiency in EntraID & M365 Services Like Intune/MECM, Google Suite & AWS

Experience with Virtual Desktop solutions like Citrix, AVD, 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 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 at the time of writing but required after it becomes generally available)

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 minimum 3 years of experience in Workplace Endpoint services with M365, Google Suite & AWS.

Resource needs to be AI Ready., 15 years full time education