Human Capital Intelligence Agent

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 Human Capital workflows across enterprise environments.

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 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.

The Scope Of Work May Include

• Talent Acquisition
• Employer Branding analytics
• Human Capital Operations and lifecycle management
• Talent Management and performance analytics
• Total Rewards modeling and benchmarking
• Organizational Design and workforce intelligence

The Human Capital Intelligence Agent enhances workforce insight, standardizes execution, and strengthens decision support across these domains.

Responsibilities

Capability & Technical Requirements

• Live production deployment within enterprise environments
• Integration compatibility with HRIS, ATS, payroll, talent management, or workforce analytics systems
• 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 workforce data processing and reporting capability
• Clear explainability and audit traceability
• Defined exception handling and escalation logic

Security & Responsible AI

• Robust PII and sensitive workforce data handling controls
• Role-Based Access Control (RBAC)
• Secure authentication protocols
• Audit traceability
• Documented Responsible AI compliance, including bias testing and mitigation controls

Operational Maturity

• Documented productivity gains 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.