AI Architect (TL)
Dubai, -, United Arab Emirates Remote
Salary not listedJobFig found this opening at its original source and checks that it remains available.
About the role
As a part of our team, you'll help us shape a platform that works for One — a business owner, an artist, a freelancer. In this role, you will lead the core technical design of our AI ecosystem and run, grow, and mentor the AI engineering squad — ensuring intelligence feels invisible, thoughtful, and deeply integrated into our financial workflows rather than tacked on as an afterthought. We provide the space and trust for you to operate with true technical and people-leadership autonomy, stripping away micromanagement so you can focus on building clean, high-impact architecture and a strong team that makes the old way of banking feel entirely outdated.
What you'll bring
- Engineering Leadership & Depth: You're a senior engineer (5+ yrs) with real experience leading a team — as a Tech Lead, Team Lead, or equivalent — combined with a deep architectural background in production-grade machine learning and AI systems.
- Adjacent leadership experience is fine
- the leadership itself has to be real.
- Production LLM & Agentic Frameworks: You feel at home with modern LLM tooling and orchestration frameworks, and — more importantly — have practical experience taking agentic systems into production, not just prototyping them.
- Retrieval & Semantic Search: You have practical experience with semantic search and retrieval architectures.
- AI Evaluation & Measurement: You know how to measure AI systems in production — quality, cost, and latency — and can prove the value of what you build, not just ship it.
- PII & Data Privacy: You have experience handling personally identifiable information and sensitive data with LLMs in a regulated environment, and understand the guardrails that require.
- Regulated-Environment Comfort: You're comfortable designing and shipping AI systems within strict security, compliance, and audit boundaries.
- That's the must-have
- fintech- or crypto-specific background is not.
- Engineering Rigor: You value clean, testable code and possess strong programming skills in Python alongside asynchronous execution models.
- AI-Augmented Development: You use AI coding tools (Cursor, Claude Code, Copilot, or similar) as a core part of your daily workflow — expected practice in an AI-native org, especially for the person architecting our AI systems.