AI Automation Engineer - Digital Workplace Services

Job summary

Design and implement AI-driven automation across Digital Workplace Services to improve employee experience, IT operations, service desk efficiency, and workplace support. Build virtual assistants, chatbots, AI agents, and Copilot-enabled workflows using Microsoft Copilot Studio, Azure OpenAI, Power Platform, and APIs, integrating with ServiceNow, Microsoft 365, Teams, and SharePoint. Apply RAG, prompt engineering, and Responsible AI practices to deliver reliable, secure, and maintainable enterprise solutions.

Qualifications

• Strong AI and Generative AI engineering, Microsoft technology, automation, and API integration skills.
• Experience with Digital Workplace Services operations, employee experience platforms, or AI-powered service desks is desirable.
• Experience with workplace analytics, experience management, intelligent collaboration, or enterprise AI transformation is desirable.
• Strong analytical and problem-solving skills.
• Excellent stakeholder management.
• Ability to explain complex AI concepts to business users.

Responsibilities

• Design and implement AI-powered workplace automation solutions.
• Develop virtual assistants, chatbots, and AI agents using Microsoft Copilot Studio and Azure OpenAI.
• Build agentic workflows for autonomous task execution and IT support automation.
• Integrate AI solutions with IT service management platforms, collaboration tools, and enterprise applications.
• Develop workflow automations using Power Platform, APIs, and orchestration frameworks.
• Apply retrieval-augmented generation, prompt engineering, and large language models to enterprise use cases.
• Deliver AI-powered digital workplace solutions and employee self-service capabilities.
• Create Copilot-enabled workflows to improve productivity.
• Automate service desk tasks, including ticket summarisation, classification, knowledge article generation, incident routing, and virtual support.
• Develop APIs and connectors for secure data exchange with enterprise platforms.
• Apply Responsible AI principles and support security, privacy, and governance requirements.
• Monitor and optimise AI solution performance and support AI lifecycle management.
• Ensure automation solutions are reliable, scalable, and maintainable.

Skills

Certifications

Industry

Relocation