AI Architect

Role Overview
Mercer 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 Accountability
Architect how intelligence is built, orchestrated, governed, and scaled—not just individual models.

Key Responsibilities
AI Architecture & System Design

Define the end‑to‑end AI reference architecture for the Employee Digital Twin platform, including:

AI orchestration and agent frameworks
Model lifecycle and serving layers
Semantic understanding and reasoning components
Integration patterns with HRIS, analytics, and Mercer platforms

MLOps, Governance & Responsible AI

Define MLOps architecture, including:

Embed AI governance guardrails, including:

PII protection and role‑based access
Bias detection and fairness controls
Auditability and usage traceability

Required Qualifications

12+ 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 architectures
RAG systems, vector stores, and AI orchestration
Semantic models and knowledge‑based reasoning

Deep 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.Experience 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.