The Role

• Design, build and deploy AI-powered agents using low-code platforms such as Microsoft Copilot Studio, Lyzr, or equivalent agentic AI frameworks.
• Create and configure multi-step agentic workflows that leverage large language models (LLMs) to automate complex, judgment-intensive tasks.
• Write, test, and iterate on prompts to guide LLM behaviour accurately and reliably.
• Integrate AI capabilities, including natural language processing, intelligent document processing, and AI-driven decision-making, into business processes.
• Develop automation solutions on the Power Platform (Power Automate, Power Apps, AI Builder) to complement and extend AI agent capabilities.
• Support the deployment of automation processes using Power Automate where traditional automation is the right fit.
• Work with process specialists and business stakeholders to identify opportunities where AI agents can replace or augment manual work.
• Test, monitor, and continuously improve AI and automation solutions based on real-world performance and user feedback.
• Document AI agent configurations, prompt libraries, process flows, and user guides in a clear and structured way.
• Stay actively curious, follow emerging AI tools, models, and frameworks and bring new ideas back to the team.
• Collaborate with a global team of business analysts, solution architects, and senior developers across WTW.

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The Requirements

• Academic degree in Computer Science, Engineering, Mathematics, Information Management, or a related field.
• Fluent written and verbal communication skills in English.
• Experience in AI tools, agents, prompt engineering, and the low-code/no-code AI ecosystem.
• Comfort with APIs is a plus.
• Logical, structured thinking and strong attention to detail.
• Hands-on experience with any of the following: Microsoft Copilot Studio, Power Platform, Lyzr, LangChain, or any LLM-based tooling.
• Familiarity with prompt engineering techniques.

WTW is an Equal Opportunity Employer