AI Agent Designer
A division of Publicis Groupe, Publicis Digital Experience is a network of top-tier agencies designed to develop capabilities and solutions to enable growth and provide scaled access to the digital capabilities of Publicis Groupe in service of our clients. Together, thePublicis Digital Experience portfolio endeavors to create value at the intersection of technology and experiences to connect brands and people.
Our model to transform every brand experience will help clients navigate, develop, and activate commerce in a way that will provide them with a future-proof model for modern marketing. With our unique expertise in consumer engagement, CRM, and commerce, Publicis Digital Experience powers brands and empowers people in a new era of creativity. An ever-changing landscape and the need for fluid thinking is just part of our problem-solving nature. Which means we're untethered from any specific medium or method—we go where ideas will work best.
We are an expanding network of more than 7,000 employees across global offices, unified under the Publicis Digital Experience umbrella. Our portfolio includes agency brands such as Razorfish, Digitas, Mars United Commerce, Arc Worldwide, Saatchi & Saatchi X, Plowshare and 3Share. Our capabilities span the full customer journey—from creative and experience to Commerce and CRM—through specialized practices like ConnectedCRM and the Publicis Commerce.
Responsibilities
You'll be responsible for designing, prototyping, and operationalizing AI agents that power CRM programs from signal interpretation to journey orchestration to client-ready demonstration.
Specifically, you will:
- Designing CRM-ready AI agents that operate across data ingestion, signal normalization, decisioning logic, and activation triggers
- Translating CRM strategies into operational agent architectures that account for:
- Data latency, quality, and ownership
- Identity resolution and consent constraints
- Channel orchestration rules and suppression logic
- Integrating agent workflows into existing CRM stacks, including CDPs, journey orchestration tools, marketing clouds, and analytics platforms
- Partnering with platform and solution partners (e.g., CDP, identity, activation, analytics) to define where the agent layer sits—and how it interoperates
- Building or overseeing working agent prototypes that can plug into partner environments for pilots, POVs, or live programs
- Establishing operational guardrails: human-in-the-loop checkpoints, QA frameworks, escalation paths, and monitoring
- Creating reusable agent patterns and operating models that teams can deploy consistently across clients and partners
- Supporting new business by demonstrating how AI agents work with, not against, enterprise CRM ecosystems
Qualifications
This role is ideal for someone who:
- Has deep experience in CRM, lifecycle marketing, or marketing technology
- Understands segmentation logic, journey triggers, suppression rules, and channel orchestration
- Has spent the last 1–2 years actively building with LLMs, agents, or AI orchestration tools
- Is energized by ambiguity and moves quickly from concept to output
- Thinks in inputs, decisions, and outcomes, not features or channels
- Is comfortable being both strategic and hands-on, often in the same day
- You don't need to come from a traditional agency background, but you do need to be able to operate in fast-paced, client-facing environments.
What You Bring:
- 10+ years of experience in CRM strategy, marketing technology, data-driven programs, or adjacent fields
- Hands-on experience with LLM-based tools, agent frameworks, or AI orchestration platforms
- Strong understanding of CRM data models and lifecycle logic
- Ability to write clear, practical functional specifications for technical and non-technical partners
- Enough technical fluency to collaborate credibly with engineers (Python, JavaScript, APIs, or equivalent)
- A track record of shipping real artifacts, not just concepts
- You should be able to point to something tangible you've built with AI: a prototype, an internal tool, a deployed agent, or a working workflow.
What Success Looks Like:
- CRM programs in market with agent-enabled components you helped design or build
- Multiple pitches or client engagements supported by working AI demonstrations
- Reusable frameworks or playbooks that other teams rely on
- Colleagues and clients better understand AI-enabled CRM because of how you explain and show it
