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NEXTMOVEFDE careers · United States
Dentsu

Associate Director, AI Engineer

AI summary of the role

Senior individual contributor AI engineer role at dentsu, focused on designing and building multi-agent systems for client-facing AI products.

What you’ll do

  • Design and build multi-agent systems using LLM orchestration frameworks for client-facing AI products.
  • Implement end-to-end AI orchestration use cases for clients, ensuring reliability, maintainability, and high-quality delivery.
  • Build agentic wrappers and interfaces around data science models (e.g., MMM, forecasting, incrementality) to support conversational access.
  • Write production-grade Python with appropriate error handling, observability, CI/CD integration, and deployment automation.

What you’ll bring

  • 5+ years of software engineering experience with strong Python skills.
  • 2+ years of hands-on experience working with LLMs (e.g., prompt engineering, RAG, function calling, agent frameworks).
  • Experience with at least one agent orchestration framework (LangChain, LangGraph, AutoGen, CrewAI, or similar).
  • Strong system design skills, including API architecture and distributed systems.

Technologies

Python · LangChain · LangGraph · AutoGen · CrewAI · Azure · Databricks · Genie · RAG · vector databases

About Dentsu

Japanese-rooted global advertising and marketing network delivering media, creative, and CXM via brands like Carat, Dentsu Creative, iProspect, and Merkle for the world's top advertisers.

Public · 5000+ people

Source and classification

Production engineering · Evidence for this classification:

Job Description: Reports To: VP, AI Agents & Automation Team: AI Agents & Automation Role Summary We are seeking an Associate Director, AI Engineer to help build the next generation of AI agents at dentsu. This role is a senior technical individual contributor position focused on designing and delivering multi‑agent systems that transform data intelligence into automated, client‑facing workflows. You will partner closely with the VP of AI Agents & Automation, write production code, set engineering patterns, and collaborate with an offshore engineering team to deliver scalable, reliable AI products. This role blends architectural decision‑making with hands‑on development. Key Responsibilities Design and build multi‑agent systems using LLM orchestration frameworks for client‑facing AI products. Implement end‑to‑end AI orchestration use cases for clients, ensuring reliability,
How jobs are selected

Employer postings · Data from · Sources