Enterprise AI Architect- 10+ yrs- New York, New York- Onsite

Role OverviewMercer is seeking an AI Architect – Employee Digital Twin to design and govern the enterprise AI architecture underpinning Mercer’s Employee Digital Twin platform. This role is responsible for defining how AI, machine learning, semantic models, and data platforms work together to create a trusted, explainable, and scalable digital representation of employees.The AI Architect ensures that Mercer’s workforce intelligence is delivered through robust, auditable, and ethically governed AI systems, aligned with Mercer’s consulting rigor and global enterprise standards.Core AccountabilityArchitect how intelligence is built, orchestrated, governed, and scaled—not just individual models.Required Qualifications12+ years of experience in AI/ML architecture, data platforms, or enterprise systems design.Proven experience architecting large-scale AI systems beyond isolated models.Strong expertise in:ML and Generative AI architecturesRAG systems, vector stores, and AI orchestrationSemantic models and knowledge-based reasoningDeep understanding of AI lifecycle management (MLOps) and production deployment patterns.Experience architecting secure, multi-tenant enterprise platforms.Ability to translate complex AI systems into clear architectural guidance for leadership and delivery teams.Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related field.Preferred QualificationsExperience with workforce, HR, compensation, or people analytics platforms.Exposure to digital twin concepts (human, asset, or system twins).Experience integrating AI with HRIS ecosystems (Workday, SAP SuccessFactors, Oracle HCM).Familiarity with cloud-native AI platforms and distributed data architectures.Background working in consulting-led or regulated enterprise environments.