AI Architect

Company Description

Publicis Groupe is the largest Communications Group worldwide and the leader in Digital and Interactive Communications. Publicis has activities spanning 108 countries on five continents and employs approximately 72,000 professionals worldwide. Publicis Groupe offers local and international clients a complete range of communication services through the nearly 1,400 agencies across our four global networks.

Re:Sources is the shared services provider of Publicis Groupe, delivering a suite of multi-tenant managed and professional services to Publicis Groupe agencies worldwide, in support of key Groupe business operations. Those operations include: Information Technology & Technology Solutions, Finance, Legal, Procurement, Real Estate, Insurance and other services to our business units.

About the Role

The AI/ML Architect shapes the AI strategy and leads enterprise-level architecture for multimodal AI in the media organization. This includes building capabilities across media understanding, LLM workflows, multimodal RAG, real-time metadata enrichment, content intelligence, personalization, and scalable AI platform infrastructure.

Responsibilities

Enterprise Architecture & Strategy

• Define long-term AI architecture roadmap across: NLP, CV, ASR, video AI, multimodal LLMs, recommendation systems, content moderation & compliance, RAG & knowledge systems, and agentic automation.
• Architect scalable ingestion pipelines for high-volume media (10K+ hours of video).
• Define standards for model lifecycle, governance, auditability, and lineage.

Platform & Infrastructure

• Architect GPU clusters, distributed compute, and cloud AI platforms.
• Oversee integrations of: Media Asset Management (MAM), Content Management Systems (CMS), data lake/lakehouse, vector databases, and observability platforms.

Governance & Compliance

• Ensure compliance with: content safety guidelines, copyright/IP protection, data privacy laws, and responsible AI standards (NIST AI RMF).

Innovation & Leadership

• Evaluate emerging multimodal and generative AI technologies.
• Drive adoption of LLMOps practices and agentic AI frameworks.
• Present architecture strategies to C-level stakeholders.

Must-Have Skills

• Deep expertise in multimodal AI (text–image–audio–video).
• Mastery of LLMs and their ecosystem (fine-tuning, adapters, vector search).
• Expert-level cloud architecture (Azure/AWS/GCP).
• Strong experience in enterprise-scale MLOps + LLMOps.
• Deep exposure to media processing at scale.

Preferred Skills

• Knowledge of video generation, audio synthesis, and generative media workflows.
• Experience in building AI COEs or platform teams.

Qualifications

• 10+ years in AI/ML with at least 3+ years architecting enterprise systems.
• Master's/Ph.D.

Work Schedule

• Core work hours are Monday through Friday, 9:00 AM–5:00 PM.
• Must be flexible and available to work non-standard business hours upon request or as needed.
• Must be available via cell phone for VIP support.

Travel

• Local travel between sites may be required.
• Occasional travel to sites outside the local area may be required.

Compensation

Salary range: $124,000–$204,000 per year. Actual compensation within this range will be based on a variety of factors, including relevant experience, knowledge, skills, and applicable certifications. This range reflects what we reasonably expect to offer based on current market data.

Equal Opportunity

Re:Sources USA is an Equal Opportunity / Affirmative Action employer. All qualified applicants to Re:Sources USA will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status.