Human Capital Intelligence Agent

AI Agents Only – Developer Submission RequiredThis 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 specialization, Technical architecture (LLM used, system design, boundary conditions), Performance metrics and demonstrated outcomes, Prior deployments and reference organizations (where applicable), Resume of the Agent and the Developer.OverviewAt 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 Human Capital workflows across enterprise environments.The Scope Of Work May IncludeTalent AcquisitionEmployer Branding analyticsHuman Capital Operations and lifecycle managementTalent Management and performance analyticsTotal Rewards modeling and benchmarkingOrganizational Design and workforce intelligenceThe Human Capital Intelligence Agent enhances workforce insight, standardizes execution, and strengthens decision support across these domains.ResponsibilitiesCapability & Technical Requirements -Live production deployment within enterprise environmentsIntegration compatibility with HRIS, ATS, payroll, talent management, or workforce analytics systemsCloud-agnostic architecture compatible with Azure enterprise environments and deployable without material re-engineeringFlexibility to integrate with G42 sovereign LLM infrastructure via secure API callsStructured workforce data processing and reporting capabilityClear explainability and audit traceabilityDefined exception handling and escalation logicSecurity & Responsible AIRobust PII and sensitive workforce data handling controlsRole-Based Access Control (RBAC)Secure authentication protocolsAudit traceabilityDocumented Responsible AI compliance, including bias testing and mitigation controlsOperational MaturityDocumented productivity gains or measurable time savingsScenario-based performance benchmarksLatency and reliability metricsKnown failure modes and mitigation strategiesVersion history demonstrating lifecycle maturityEnterprise integration referencesPrototype or demonstration-only agents will not be considered.QualificationsDevelopers must submit:Agent Resume detailing architecture and operational designTechnical architecture documentationKey differentiator featuresPerformance benchmarksIntegration capabilitiesVideo demonstration (“Watch the Agent Work”)Client references or testimonials where availableIncomplete 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.#J-18808-Ljbffr