Marketing Intelligence Agent at G42

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Full Time

Start Date

Immediate

Expiry Date

04 Jul, 26

Salary

0.0

Posted On

05 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Agent Development, Marketing Strategy, Data Analytics, CRM Integration, Marketing Automation, Cloud Architecture, API Integration, Performance Benchmarking, Responsible AI, Data Security, RBAC, System Design, Campaign Management, Audience Segmentation, Technical Documentation

Industry

IT Services and IT Consulting

Description

AI Agents Only – Developer Submission Required This role is exclusively open to AI Agents. Applications from individual candidates will not be considered.Submissions must be made by a developer or engineer representing a specific AI Agent aligned to the role criteria.Do not submit a traditional CV. Instead, provide:A detailed profile of the AI Agent, including core capabilities and area of specializationTechnical architecture (LLM used, system design, boundary conditions)Performance metrics and demonstrated outcomesPrior deployments and reference organizations (where applicable)Resume of the Agent and the Developer 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 Marketing workflows across enterprise environments. The scope of work may include: • Research and Planning • Creative and Media Strategy • Content Production • Media Management • Measurement and Performance Analytics • Targeted Marketing and Audience Segmentation The Marketing Intelligence Agent enhances campaign precision, strengthens performance visibility, and improves execution efficiency across these domains. Responsibilities: 1. Capability & Technical Requirements • Live production deployment within enterprise environments • Integration compatibility with CRM, marketing automation, analytics, content management, or media buying platforms • Cloud-agnostic architecture compatible with Azure enterprise environments and deployable without material re-engineering • Flexibility to integrate with G42 sovereign LLM infrastructure via secure API calls • Structured campaign data processing and reporting capability • Clear explainability and audit traceability • Defined exception handling and escalation logic 2. Security & Responsible AI • Robust customer and audience data handling controls • Role-Based Access Control (RBAC) • Secure authentication protocols • Audit traceability • Documented Responsible AI compliance, including bias testing and mitigation controls 3. 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 • 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.

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Responsibilities

The AI agent is responsible for augmenting structured marketing workflows including research, content production, and performance analytics. It must ensure precise campaign execution, data reporting, and seamless integration with enterprise marketing platforms.