AI Developer at WTW CO
Taguig, Metro Manila, Philippines -
Full Time


Start Date

Immediate

Expiry Date

15 Sep, 26

Salary

0.0

Posted On

17 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

AI Agent Development, Prompt Engineering, Microsoft Copilot Studio, Power Platform, LLM Integration, Natural Language Processing, Intelligent Document Processing, Power Automate, Power Apps, AI Builder, Lyzr, LangChain, API Integration, Workflow Automation, Logical Thinking, English Communication

Industry

Financial Services

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.

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Responsibilities
Design and deploy AI-powered agents and multi-step workflows using low-code platforms to automate complex business tasks. Collaborate with stakeholders to integrate AI capabilities and continuously improve automation solutions based on performance data.
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