AI Workforce Intelligence Architect

Summary

Job DescriptionJob DescriptionWe are seeking an experienced AI Workforce Intelligence Architect responsible for designing enterprise-wide workforce intelligence platforms that combine artificial intelligence, predictive analytics, labor market intelligence, organizational planning, and talent acquisition automation.The successful candidate will build AI models capable of forecasting hiring demand, workforce supply, skills evolution, succession risks, compensation trends, and organizational capability gaps while integrating with enterprise HR systems including Workday, SAP SuccessFactors, Oracle HCM, Greenhouse, Bullhorn, and Daxtra.This role sits at the intersection of Artificial Intelligence, HR Technology, Enterprise Architecture, Machine Learning, and Organizational Strategy.Key Responsibilities Design enterprise AI workforce intelligence platforms.Develop predictive hiring and workforce forecasting models.Architect large-scale HR data lakes.Build workforce knowledge graphs.Integrate AI with ATS and HRIS platforms.Design semantic skills ontologies.Create workforce digital twins.Develop talent recommendation engines.Lead AI governance initiatives.Optimize recruiting operations using automation.Collaborate with executive leadership.Develop enterprise AI roadmaps.Monitor labor market trends.Design workforce planning dashboards.Improve talent acquisition through predictive analytics.Required Qualifications Bachelor's in Computer Science, Data Science, Information Systems, Business Analytics, HR Technology, or related field.Master's preferred.10+ years in Enterprise Architecture.8+ years in AI/ML.7+ years in HR Technology.Experience designing enterprise data platforms.Strong stakeholder management.Experience with Fortune 500 environments.Technical Skills Artificial Intelligence Machine LearningDeep LearningGenerative AILLMsRAGPrompt EngineeringReinforcement LearningProgramming PythonSQLScalaJavaCloud AWSAzureGoogle CloudAI Platforms Azure OpenAIVertex AIAmazon BedrockLangChainLlamaIndexHR Technology WorkdaySAP SuccessFactorsOracle HCMUKGADPATS DaxtraBullhornJobDivaGreenhouseLeverAviontéCEIPALiCIMSBI Power BITableauLookerDatabases SnowflakeDatabricksPostgreSQLNeo4jElasticsearchPreferred Certifications AWS Solutions Architect ProfessionalMicrosoft Azure AI EngineerGoogle Professional Machine Learning EngineerTOGAFPMPSHRM-SCPSoft Skills Executive CommunicationLeadershipStrategic ThinkingInnovationProblem SolvingCross-functional CollaborationPresentation SkillsStakeholder ManagementBenefits MedicalDentalVision401(k)Annual BonusRSUsFlexible PTORemote WorkLearning BudgetHome Office Allowance

Job Description

Job DescriptionJob DescriptionWe are seeking an experienced AI Workforce Intelligence Architect responsible for designing enterprise-wide workforce intelligence platforms that combine artificial intelligence, predictive analytics, labor market intelligence, organizational planning, and talent acquisition automation.The successful candidate will build AI models capable of forecasting hiring demand, workforce supply, skills evolution, succession risks, compensation trends, and organizational capability gaps while integrating with enterprise HR systems including Workday, SAP SuccessFactors, Oracle HCM, Greenhouse, Bullhorn, and Daxtra.This role sits at the intersection of Artificial Intelligence, HR Technology, Enterprise Architecture, Machine Learning, and Organizational Strategy.Key Responsibilities Design enterprise AI workforce intelligence platforms.Develop predictive hiring and workforce forecasting models.Architect large-scale HR data lakes.Build workforce knowledge graphs.Integrate AI with ATS and HRIS platforms.Design semantic skills ontologies.Create workforce digital twins.Develop talent recommendation engines.Lead AI governance initiatives.Optimize recruiting operations using automation.Collaborate with executive leadership.Develop enterprise AI roadmaps.Monitor labor market trends.Design workforce planning dashboards.Improve talent acquisition through predictive analytics.Required Qualifications Bachelor's in Computer Science, Data Science, Information Systems, Business Analytics, HR Technology, or related field.Master's preferred.10+ years in Enterprise Architecture.8+ years in AI/ML.7+ years in HR Technology.Experience designing enterprise data platforms.Strong stakeholder management.Experience with Fortune 500 environments.Technical Skills Artificial Intelligence Machine LearningDeep LearningGenerative AILLMsRAGPrompt EngineeringReinforcement LearningProgramming PythonSQLScalaJavaCloud AWSAzureGoogle CloudAI Platforms Azure OpenAIVertex AIAmazon BedrockLangChainLlamaIndexHR Technology WorkdaySAP SuccessFactorsOracle HCMUKGADPATS DaxtraBullhornJobDivaGreenhouseLeverAviontéCEIPALiCIMSBI Power BITableauLookerDatabases SnowflakeDatabricksPostgreSQLNeo4jElasticsearchPreferred Certifications AWS Solutions Architect ProfessionalMicrosoft Azure AI EngineerGoogle Professional Machine Learning EngineerTOGAFPMPSHRM-SCPSoft Skills Executive CommunicationLeadershipStrategic ThinkingInnovationProblem SolvingCross-functional CollaborationPresentation SkillsStakeholder ManagementBenefits MedicalDentalVision401(k)Annual BonusRSUsFlexible PTORemote WorkLearning BudgetHome Office Allowance