AI Developer

WTW; Mexico; On-site; PHP 600,000 - 900,000; Full time

Job summary

WTW is seeking an AI Developer to rapidly transform ideas into working prototypes. You will build conversational agents, automations, and AI-powered applications primarily on low-code and agent-builder platforms, occasionally dropping into code where necessary.

The role emphasizes platform fluency, fast iteration, and collaboration with business stakeholders to determine the right build approach (low-code vs. custom code) and seamless integration with enterprise systems.

Qualifications

• Hands-on proficiency with at least one low-code AI or automation platform.
• Experience with an AI agent-builder platform such as Lyzr or Moveworks.
• Demonstrated ability to rapidly prototype ideas into functional prototypes using AI-assisted development.

Responsibilities

• Design and build AI agents, copilots, and automated workflows using low-code platforms and agent-builder frameworks.
• Rapidly prototype ideas into working proof-of-concepts and iterate based on feedback.
• Integrate agents with enterprise systems, data sources, and APIs.
• Apply engineering judgment including error handling, basic evaluation, security and access considerations in low-code environments.
• Partner with business stakeholders to scope use cases and decide between low-code and custom code approaches.

Skills

Low-code AI platforms

Agent-builder platforms

Prototype fast

Cloud concepts

Tools

Microsoft Copilot Studio

Power Platform

Azure AI Foundry

Lyzr

Moveworks

Job description

We are looking for an AI Developer who can turn ideas into working prototypes fast. You will build conversational agents, automations, and AI-powered applications primarily on low-code and agent-builder platforms, dropping into code where the problem demands it. The ideal candidate is platform-fluent, has a strong bias to build, and is comfortable moving from a whiteboard concept to a demonstrable proof-of-concept in days, not weeks.

What You’ll Do

• Design and build AI agents, copilots, and automated workflows using low-code platforms and agent-builder frameworks.
• Rapidly prototype: take a loosely defined idea or business problem and produce a working proof-of-concept quickly, then iterate based on feedback.
• Integrate agents and applications with enterprise systems, data sources, and APIs.
• Apply sound engineering judgment — error handling, basic evaluation, security and access considerations — even within low-code environments.
• Partner with business stakeholders to scope use cases and decide the right build approach (low-code versus custom code).

Required Qualifications

• Hands-on proficiency with at least one low-code AI or automation platform, such as Microsoft Copilot Studio, Power Platform (Power Automate, Power Apps), or Azure AI Foundry.
• Experience with at least one AI agent-builder platform such as Lyzr, Moveworks, or a comparable agentic/RAG builder platform.
• Demonstrated ability to rapidly prototype — translating an idea into a functional prototype quickly using AI-assisted development and fast iteration.
• Strong, hands‑on command of cloud concepts on at least one major provider (Azure, AWS, or GCP) — able to independently provision, configure, develop against, deploy, and operate cloud resources and services. Comfortable owning an application end-to-end in the cloud, not just consuming pre-built services.

Preferred Qualifications

• Experience across multiple platforms spanning the categories above.
• Familiarity with RAG, prompt design, agent orchestration, and integration patterns (connectors, APIs, MCP).
• Exposure to enterprise governance concerns: identity and access, data handling, and AI usage policies.
• Experience integrating with Microsoft 365 and Dataverse, or an equivalent enterprise ecosystem.