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.
Prior software development experience in any programming language (for example Python, JavaScript/TypeScript, C#, or Java) — you can read, write, and debug code when needed.
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.
Equal opportunity to all
Job details are sourced from the employer's original posting.
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WTW is a leading global advisory, broking and solutions company that helps clients around the world turn risk into a path for growth.