AI Talent

Company description Publicis Global Delivery (PGD); Publicis Groupe’s industry leading globally connected capability platform

Where talent, technology & operations combine to delivery amazing solutions for our clients

Expertise across Media, Data, Technology, Commerce & Production in all regions of the world

PGD is comprised of the best talent, and ways-of-working, which enables global scale, innovation and transformation, each day

Culture, growth and wellbeing underline all aspects of Publicis Global Delivery. #WeArePGD Overview We are currently looking for AI Talent to join PGD. 🔹 Product Manager / Business Analyst / Conversation Designer What we’re looking for: Strong understanding of business needs and user journeys

What you’ll do: Define

and design how AI agents behave, ensuring solutions align with real business value. 🔹 Back-End Architect What we’re looking for: Deep expertise in integrating and extending AI models (e.g., MCP, APIs, backend systems)

What you’ll do: Design scalable architectures and enable AI models to interact with external systems and functionalities. 🔹 Senior Data Engineer What we’re looking for: Strong experience in data pipelines and data availability

What you’ll do: Build and manage data infrastructure to ensure LLMs have access to high-quality, reliable data. 🔹 Data Scientist (AI/LLMs) What we’re looking for: Expertise in AI models and fine-tuning techniques

What you’ll do: Evaluate, fine-tune, and optimize models to improve performance and accuracy. 🔹 Senior Functional QA Analyst (AI-focused) What we’re looking for: Experience with QA tools and understanding of AI-driven systems

What you’ll do: Validate AI solutions, test model behavior, and ensure quality and reliability of outputs. 🔹 Software Engineering Associate Director What we’re looking for: Strong leadership in software engineering teams, experience driving AI/ML initiatives, and solid technical background in modern architectures

What you’ll do: Lead engineering strategy and execution, oversee development of AI-powered systems, and ensure alignment between business goals and technical delivery.