Role Overview

On behalf of a DMCC-licensed Single Family Office in Dubai, we are seeking a highly skilled AI & Workflow Automation Architect to take full ownership of automation, integrations, and AI-enabled workflows across both private office operations and core trading systems.

This is a hands-on execution role, working directly with the Owners/Directors and CEO. The successful candidate will personally design, build, deploy, and maintain production-grade automation and AI systems that measurably reduce cycle time, increase reliability, and improve operational efficiency.
This is not a people-management or coordination role—end-to-end delivery is expected.

Compensation & Benefits

• Total Compensation: AED 50,000–70,000 per month (inclusive)

• Base Salary: AED 50,000/month

• Performance Bonus: Up to 40% of annual base, paid annually based on structured performance criteria

• Annual Salary Increase: 10% compounded yearly

• Health Insurance: Category A (worldwide), with option to cover spouse and children

• Visa: UAE residency visa + official DMCC employment contract

• Leave: 30 calendar days annual leave + round-trip economy flight to home country

• Personal & career development support

Key Responsibilities

Private Office & Administrative Automation

• Design and deploy end-to-end automated workflows using APIs, webhooks, and integrations (email, task systems, Google Workspace, finance exports, files, reporting tools)

• Automate recurring operational processes including expense tracking, reconciliation, approvals, reporting packs, and statements

• Implement automated follow-ups, escalation logic, and exception handling, ensuring only critical issues reach leadership

• Build an internal AI support layer backed by an approved knowledge base (policies, rules, templates) to deliver consistent, source-based responses

• Establish production-grade controls: approvals, audit logs, access permissions, monitoring, and error handling

Core Trading & Business Systems Support

• Support the CEO and Chief Trading Officer with enhancements to the firm’s C#/.NET trading platform

• Deliver delegated engineering tasks focused on speed, reliability, observability, automation, and operational resilience within the trading ecosystem

Required Experience & Skills

• Proven experience delivering automation systems used in real, live operations (not proofs of concept or demos)

• Strong API and systems integration capability with end-to-end ownership of reliability and monitoring

• Deep experience deploying AI in production environments, embedding LLMs safely into deterministic workflows

• Experience building controlled AI assistants with source-grounded responses and defined escalation paths

Must-Have Technical Depth

• Production LLM systems: RAG pipelines, tool-calling, structured outputs, prompt and version control

• Evaluation & QA: test sets, regression testing, hallucination mitigation, confidence thresholds

• Security: OAuth/service accounts, secrets management, least-privilege design, logging and retention

• Data layer: Postgres (or equivalent), basic ETL, schema design for expenses, tasks, and statements

• C#/.NET: Sufficient depth to contribute meaningfully to an existing trading system codebase

Technology Stack

• Workflow orchestration: n8n, Make, Workato, Microsoft Power Automate

• Scripting: Python, JavaScript

• Data: PostgreSQL (or equivalent)

• Trading platform: C# / .NET

• AI: Production use of leading LLM APIs, embeddings, vector search, and tool-based agent workflows

Hiring Process

Shortlisted candidates will be invited to paid trial days, designed to validate real-world delivery speed, reliability, and engineering quality within the live environment.

About the Company

Quant Lab SFO is a Dubai-based Single Family Office that builds proprietary trading strategies in-house. Its AI engine is trained on 10+ years of tick-level market data, with only the highest-performing strategies progressing from back-testing to fully automated live execution.