Application Support Engineer

Project Role : Application Support Engineer

Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems.

Must have skills : Workplace Solutions

Good to have skills : Program Project Management

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Job Summary

We are seeking a forward-thinking professional with 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 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 designing, implementing, and managing enterprise endpoints (physical & Virtual) & apps across cloud and hybrid platforms. Responsibilities include modern device management with cloud foundations on M365. 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, solution design, implementation, testing, and business adoption.

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

Engage with multiple teams and contribute on key decisions

Expected to 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 NN (Neural Networks) and NLP (Natural Language Processing)

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

Solid grasp of prompt engineering, AI evaluation frameworks, value realization in AI projects

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

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

Exceptionally skilled in AgenticAI tools like CrewAI / Copilot Studio and other industry leading tools.

Ability to improve the Digital Experience scores for business

Must Have Skills:

Proficient in Application Packaging with AdminStudio or Advanced Installer

Expertise in Desktop Virtualization Platforms like

VMware Horizon

Citrix & Netscaler Administration

Microsoft Azure Virtual Desktop

Microsoft Windows 365

Conversant in PowerShell, Python, AzureDevOps, Terraform

Expertise with Orchestration tools like:

Ivanti Endpoint Management

Omnissa WorkspaceOne Administration

Expertise in PowerShell, Ansible, Python & Terraform

Proficiency in Microsoft Intune, MECM and Microsoft 365.

Experience in endpoint applications lifecycle management

Working experience in Digital experience tools like Nexthink

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: Agentic AI Business Solutions Architect (AB-100) (currently in beta at the time of writing but required after it becomes generally available)

Ivanti Certified Administrator Modern Device Management / Endpoint Management

Omnissa Certified Administrator Horizon

Omnissa Certified Administrator WorkspaceOne

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 5 years of experience in Workplace Virtual Endpoint services with M365., 15 years full time education