Technology
AI Workforce Intelligence Architect
Dfbooking Recruitment Services
HimalayasRemote
- Location
- United States, United States
- Type
- Remote
- Salary
- Salary not specified
- Posted
- 10 Nov 2026
We 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.
We 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 Learning Deep Learning Generative AI LLMs RAG Prompt Engineering Reinforcement Learning Programming Python SQL Scala Java Cloud AWS Azure Google Cloud AI Platforms Azure OpenAI Vertex AI Amazon Bedrock LangChain LlamaIndex HR Technology Workday SAP SuccessFactors Oracle HCM UKG ADP ATS Daxtra Bullhorn JobDiva Greenhouse Lever Avionté CEIPAL iCIMS BI Power BI Tableau Looker Databases Snowflake Databricks PostgreSQL Neo4j Elasticsearch Preferred Certifications AWS Solutions Architect Professional Microsoft Azure AI Engineer Google Professional Machine Learning Engineer TOGAF PMP SHRM-SCP Soft Skills Executive Communication Leadership Strategic Thinking Innovation Problem Solving Cross-functional Collaboration Presentation Skills Stakeholder Management Benefits Medical Dental Vision 401(k) Annual Bonus RSUs Flexible PTO Remote Work Learning Budget Home Office Allowance Originally posted on Himalayas