Lead the development and execution of the Virtual Workspace AI and Automation strategy, driving innovation, productivity, operational excellence, and user experience improvements across enterprise digital workplace platforms.
Responsibilities
Lead the development and execution of the Virtual Workspace AI and Automation strategy
Establish and lead a team responsible for identifying, developing, and deploying AI-powered solutions that automate engineering, operational, and support processes across Citrix, Azure Virtual Desktop, Enterprise Browser, Endpoint, and related Virtual Workspace technologies
Partner with engineering leaders, product managers, architects, operations teams, and business stakeholders to identify high-value AI use cases and develop scalable automation solutions that improve service quality, reduce operational costs, and accelerate delivery
Develop AI-enabled capabilities leveraging Microsoft Copilot, Azure AI Services, Large Language Models (LLMs), agentic frameworks, machine learning technologies, and enterprise data platforms
Drive adoption of software engineering and automation best practices, including API-driven automation, Infrastructure as Code (IaC), workflow orchestration, self-service capabilities, and intelligent remediation
Software Engineering Managers have technical expertise to lead major projects, manage teams, contribute to product strategy, and guide the way in large-scale AI projects.
Responsibilities
Identify and qualify business opportunities and resolve technical blockers
Provide AI expertise for customer technical relationships, manage briefings, create demos, and POCs
Recommend integration strategies, enterprise architectures, platforms, and application infrastructure
Support developers and enterprises to leverage Google’s Generative Language APIs
Requirements
Bachelor's degree or equivalent practical experience
Nice to have: Master's degree in Engineering, Computer Science, or a related technical field
