Usage of Conventional AI
Virtusa utilizes Artificial Intelligence (AI) technology for the purpose of conducting candidate pre-employment assessments. This AI may include both text-based and voice-based functionalities. The AI technology will have access to the data that you upload or provide during your interaction with the AI bot and will use such data solely for the purpose of performing assessment in accordance with Virtusa policies and practices. The AI is not used to substantially assist or replace discretionary employment decisions. Read our full employee privacy policy here.
Job description
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.
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 30,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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