Forward Deployed Engineer

Emirates Post Group; Dubai; Presencial; AED 180.000 - 320.000; Jornada completa

Descripción de la vacante

Emirates Post Group's 7X AI Lab seeks a Forward Deployed Engineer who embeds with business units to translate real-world problems into measurable AI solutions. You own framing, scoping, building, and defending prototypes in collaboration with operations.

You will work with data, guardrails, and production handoffs, balancing speed with governance, and you should be comfortable navigating bilingual English and Arabic contexts.

Formación

• Experience with APIs and data handling in production systems.
• Hands-on work with LLMs and agent frameworks including guardrails.
• Ability to scope problems and distinguish essential features from noise.

Responsabilidades

• Embed with business units to identify where AI adds real operational value.
• Build rapid prototypes: chat interfaces, backend actions, verification rules, audit trails.
• Profile real data, decide what to trust, and avoid acting on sensitive records.
• Scope features ruthlessly and document what is included or excluded with rationale.
• Measure outcomes with transparent assumptions and avoid fabrication of numbers.
• Advance validated prototypes toward production with integrations and monitoring.
• Present and defend work to business owners and leadership.

Conocimientos

APIs

Data handling

Testing

Architecture judgment

LLMs

Agent frameworks

Guardrails

Handover

Descripción del empleo

Job Description:

Forward Deployed Engineer, 7X AI Lab

About the role

The AI Lab builds agentic AI products across the 7X group, from customer service and logistics journeys to internal assistants and government service workflows. Forward Deployed Engineers are how those products reach the business. You embed with an operating team, understand their problem firsthand, and build the solution with them, on their data, inside their constraints.

You own the full loop: frame the business problem, scan what the market has already proven or failed at, scope the smallest version that delivers measurable value, build it, and defend it with evidence.

What you will do

• Embed with business units across the group to identify where AI resolves real operational pain, not where it merely demonstrates well.
• Build working prototypes fast: chat and agentic interfaces, controlled backend actions, verification and eligibility rules, audit trails.
• Work with real operational data, which means messy data. Profile it, decide what to trust, flag what you cant, and never let a system act on records it shouldnt.
• Scope ruthlessly. Define whats in, cut what isnt, and write down why.
• Measure honestly. Label what is measured, what is assumed, and what needs a pilot to prove. No invented numbers.
• Carry validated prototypes toward production: integrations, identity, guardrails, monitoring, handover to engineering and operations.
• Present and defend your work to business owners and leadership.

What we look for

• Strong engineering fundamentals: APIs, data handling, testing, and enough architecture judgment to separate language understanding from business rules and writes.
• Hands‑on experience building with LLMs and agent frameworks, including guardrails, evals, and human handoff.
• Product judgment. You can tell the smallest valuable version from a feature list, and you say no with reasons.
• Evidence discipline. You distinguish facts, claims, and assumptions, and you treat vendor numbers as marketing until proven on our workload.
• Care for data protection. You treat customer data as a liability to guard, not a convenience, and you understand what UAE PDPL requires in practice.
• Comfort with ambiguity and bilingual (English and Arabic) contexts is a plus.

How we assess

A practical assignment on a realistic business case, a working prototype, and a 30-minute defense. We evaluate problem framing, scope discipline, prototype quality, and the honesty of your claims. The defense matters as much as the artifact.