About this role
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