AI & Workflow Automation Architect (AED 50,000–70,000/month total compensation) – Family Office (DMCC, Dubai)
Type: Full-time
Location: Dubai (DMCC)
Start: As soon as possible
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Who we are
We are a DMCC-licensed Single Family Office in Dubai. We build our trading strategies in-house, supported by an AI engine trained on 10+ years of tick-level market data. The AI & Workflow Automation Architect will work directly with the two owners/directors, owning automation for the admin team (workflows, integrations, and internal AI tools) while also supporting core business initiatives in our trading operation—delivering IT/engineering work as delegated by the CEO (including upgrades to our C# trading systems and related automation).
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Role summary (read carefully)
This is a hands-on execution role. You will personally design, build, and ship automation workflows and AI systems end-to-end. This is not a people-management role and not a role for someone who mainly coordinates or manages other programmers. We expect production-grade delivery, reliability, and measurable cycle-time reduction across operations.
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Compensation and benefits
- Total compensation (equivalent): AED 50,000–70,000/month
- Base: AED 50,000/month
- Performance bonus: up to 40% of annual base, paid in December based on structured performance criteria
- (At maximum bonus, this equals ~AED 70,000/month total compensation equivalent.)
- Annual salary increase: 10% compounding each year
- Health insurance: Category A (worldwide; top UAE clinics/hospitals) + option for spouse/kids
- UAE visa + official DMCC employment contract
- Paid annual leave: 30 calendar days + round-trip economy flight to home country
- Personal/career development
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What you will own (hands-on delivery)
Private office automation (admin + household operations)
- Build and maintain integrations through APIs/webhooks (email, task systems, Google Drive/Sheets, files, finance exports) and ship workflows that run reliably.
- Automate recurring workflows end-to-end (e.g., statements, expense tracking, reconciliation, reporting packs, approvals).
- Implement automated follow-ups and escalations so routine chasing is handled by the system and only exceptions/critical items reach owners.
- Build an internal AI support layer backed by an approved knowledge base (policies, rules, templates) to answer employee questions consistently and reduce escalation.
- Implement production controls: approvals for financial/legal/external actions, audit logs, access permissions, monitoring, and error handling.
Core business support (trading operation)
- Support the CEO and Chief Trading Officer with upgrades and improvements to the company’s internal C# trading system and related tooling.
- Implement delegated engineering tasks that improve speed, reliability, observability, automation, and operational efficiency within the trading ecosystem.
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Requirements
- Proven track record shipping automation used in real operations (not demos).
- Strong API/integration skills and ability to deliver workflows end-to-end with reliability, monitoring, and maintainability.
- Highly experienced with AI APIs and modern AI tooling in production—able to embed AI into workflows safely, with deterministic logic where needed.
- Experience building controlled assistants that provide source-based answers (no guessing), with clear escalation paths.
Must-have technical depth
- Production LLM systems: RAG, tool-calling, structured outputs, prompt/version control.
- Evaluation & QA: test sets, regression testing, hallucination controls, confidence thresholds.
- Security: OAuth/service accounts, secrets management, least-privilege design, logging/retention.
- Data layer: Postgres (or equivalent), basic ETL, schema design for expenses/tasks/statements.
- C# competence sufficient to contribute meaningfully to an existing trading system codebase (.NET).
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Stack (current and expected)
- Workflow automation/orchestration: n8n / Make / Workato / Microsoft Power Automate
- Scripting: Python / JavaScript
- Data: Postgres (or equivalent)
- Trading system: C#/.NET
- AI: production use of leading LLM APIs, embeddings/vector search, and tool-based agent workflows
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Hiring approach
Selected candidates will be invited for paid trial days to validate real-world delivery speed, reliability, and quality in our environment.
Skills
Must-have technical depth
- Production LLM systems: RAG, tool-calling, structured outputs, prompt/version control.
- Evaluation & QA: test sets, regression testing, hallucination controls, confidence thresholds.
- Security: OAuth/service accounts, secrets management, least-privilege design, logging/retention.
- Data layer: Postgres (or equivalent), basic ETL, schema design for expenses/tasks/statements.
- C# competence sufficient to contribute meaningfully to an existing trading system codebase (.NET).