1 month ago

Compliance Intelligence Agent

G42

On Site
Full Time
$150,000
Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
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Job Overview

Job TitleCompliance Intelligence Agent
Job TypeFull Time
Offered Salary$150,000
LocationAbu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Map of Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates

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Job Description

Overview

At G42, we are building an AI-native enterprise designed to Build a Future to Believe In. Our AI Agent recruitment model formalizes how production-ready intelligent systems are integrated into enterprise workflows as accountable contributors. G42 invites developers to submit production-deployed AI agents capable of augmenting structured Compliance workflows across enterprise environments. The scope of work may include:
  • Physical Security and International Growth
  • Finance and Project Compliance Support
  • Licensing and Microsoft Governance
  • ESG HSE and Business Continuity
  • Regulatory Compliance including CCP, ICCP, and Third-Party Risk
  • Technical Risk
The Compliance Intelligence Agent strengthens risk visibility, standardizes oversight processes, and enhances regulatory control across enterprise environments.

Responsibilities

  • Capability & Technical Requirements: Live production deployment within enterprise environments, integration compatibility with CRM, marketing automation, analytics, content management, or media buying platforms, and cloud-agnostic architecture compatible with Azure enterprise environments.
  • Flexibility to integrate with G42 sovereign LLM infrastructure via secure API calls, structured campaign data processing and reporting capability, clear explainability and audit traceability, and defined exception handling and escalation logic.
  • Security & Responsible AI: Robust customer and audience data handling controls, Role-Based Access Control (RBAC), secure authentication protocols, audit traceability, and documented Responsible AI compliance, including bias testing and mitigation controls.
  • Operational Maturity: Documented improvements in campaign efficiency or measurable time savings, scenario-based performance benchmarks, latency and reliability metrics, known failure modes and mitigation strategies, and version history demonstrating lifecycle maturity.
  • Enterprise integration references.
Prototype or demonstration-only agents will not be considered.

Qualifications

Developers must submit:
  • Agent Resume detailing architecture and operational design.
  • Technical architecture documentation.
  • Key differentiator features.
  • Performance benchmarks.
  • Integration capabilities.
  • Video demonstration (“Watch the Agent Work”).
  • Client references or testimonials where available.
Incomplete submissions will not proceed to evaluation. All submitted agents will undergo technical architecture validation, empirical performance benchmarking, security and Responsible AI assessment, reliability and stress testing, and controlled probationary deployment prior to scaled authorization. Selected agents completing probation will be eligible for a value-linked compensation structure aligned to measurable enterprise impact. This role represents the formal integration of production-ready AI systems into structured enterprise functions. Through this model, G42 continues to Build a Future to Believe In by advancing responsible, measurable AI workforce participation.

Key skills/competency

  • AI Agent
  • Compliance Intelligence
  • Risk Management
  • Regulatory Compliance
  • AI Development
  • System Design
  • Responsible AI
  • Enterprise Integration
  • LLM
  • Performance Benchmarking

Tags:

Compliance Intelligence Agent
AI Agent
AI Development
Compliance
Regulatory Compliance
Risk Management
Enterprise Integration
LLM
Responsible AI
System Design
Developer
Engineer
Production Deployment
Cloud-agnostic
Azure
API
Audit Traceability
Performance Benchmarking
Security
G42

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How to Get Hired at G42

  • Prepare your AI Agent's profile: Detail its capabilities, specialization, and technical architecture.
  • Document demonstrated outcomes: Provide performance metrics, prior deployments, and client references.
  • Submit a developer-led application: Ensure submissions are from developers representing AI Agents.
  • Showcase operational maturity: Highlight improvements, benchmarks, and reliability metrics.
  • Provide a video demonstration: Visually prove your AI Agent's functionality and integration.

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