WTW
Description 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. Qualifications 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
WTW
