AI Workforce Intelligence Architect
About The Position
The AI Workforce Intelligence Architect designs enterprise-wide workforce intelligence platforms integrating artificial intelligence, predictive analytics, labor market intelligence, organizational planning, and talent acquisition automation. The role develops AI models to forecast hiring demand, workforce supply, skills evolution, succession risks, compensation trends, and organizational capability gaps, and integrates these capabilities with enterprise HR systems and recruiting platforms. It spans artificial intelligence, HR technology, enterprise architecture, machine learning, and organizational strategy.
Requirements
- Bachelor's degree in Computer Science, Data Science, Information Systems, Business Analytics, HR Technology, or a related field.
- 10+ years of experience in Enterprise Architecture.
- 8+ years of experience in AI/ML.
- 7+ years of experience in HR Technology.
- Experience designing enterprise data platforms.
- Strong stakeholder management.
- Experience with Fortune 500 environments.
- Technical skills in Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, LLMs, RAG, Prompt Engineering, and Reinforcement Learning.
- Programming skills in Python, SQL, Scala, and Java.
- Cloud experience with AWS, Azure, or Google Cloud.
- Experience with AI platforms including Azure OpenAI, Vertex AI, Amazon Bedrock, LangChain, and LlamaIndex.
- HR technology experience with Workday, SAP SuccessFactors, Oracle HCM, UKG, and ADP.
- ATS experience with Daxtra, Bullhorn, JobDiva, Greenhouse, Lever, Avionté, CEIPAL, and iCIMS.
- Business intelligence experience with Power BI, Tableau, or Looker.
- Database experience with Snowflake, Databricks, PostgreSQL, Neo4j, or Elasticsearch.
- Soft skills including executive communication, leadership, strategic thinking, innovation, problem solving, cross-functional collaboration, presentation skills, and stakeholder management.
Nice To Haves
- Master's degree.
- AWS Solutions Architect Professional certification.
- Microsoft Azure AI Engineer certification.
- Google Professional Machine Learning Engineer certification.
- TOGAF certification.
- PMP certification.
- SHRM-SCP certification.
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.
Benefits
- Medical
- Dental
- Vision
- 401(k)
- Annual bonus
- RSUs
- Flexible PTO
- Remote work
- Learning budget
- Home office allowance
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What This Job Offers
Job Type
Full-time
Career Level
Senior
