Applied AI Strategy Lead — Automate Media Workflows

Publicis Group; New York (NY); On-site; USD 89,000 - 142,000; Full time

Benefits offered by this job

Medical coverage

Dental

Vision

401K

Paid time off

Tuition reimbursement

Flexible time off

Job summary

Publicis Groupe in New York seeks an experienced builder who owns the design and continuous improvement of AI agents on the Marcel platform, turning data and marketing problems into deployed, measurable workflows.

You will map workflows, translate requirements, orchestrate agents across datasets and APIs, monitor performance, and work with data scientists to test new models, while creating accessible documentation for non-technical stakeholders.

Qualifications

• Builder/ systems designer focused on reimagining workflows with automation.
• Clear, business-focused documentation and prototyping.
• Communicates complex AI concepts in simple ways.
• Strong problem-solving and analytical skills.
• Experience with AI tools, APIs, and no-code platforms.

Responsibilities

• Design and Build AI Agents: translate problems into AI-powered workflows across data, media, and marketing.
• Workflow Mapping: create detailed maps to identify automation value points.
• Requirements Translation: develop specs for agents based on needs.
• Agent Orchestration: connect agents with datasets, APIs, and platforms.
• Performance Monitoring: evaluate agents and recommend improvements.
• Innovation Support: test emerging AI models with teams.
• Documentation & Training: produce clear docs and demos for non-technical stakeholders.

Skills

AI agents design

Workflow automation

Documentation & prototyping

Data science basics

Problem solving

Communication

Education

BA/BS in Business, Data Science, Computer Science, or a strategy-related discipline

Tools

LangChain

Zapier

OpenAI APIs

LLMs

Job description

Publicis Groupe in New York seeks an experienced builder who owns the design and continuous improvement of AI agents on the Marcel platform, turning data and marketing problems into deployed, measurable workflows.

You will map workflows, translate requirements, orchestrate agents across datasets and APIs, monitor performance, and work with data scientists to test new models, while creating accessible documentation for non-technical stakeholders.