Associate Director, AI Engineer
About The Position
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.
Requirements
- 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.
- Experience with cloud platforms (Azure preferred) and container orchestration.
- Familiarity with vector databases, embeddings, and large‑scale RAG systems.
- Strong debugging, performance optimization, and problem-solving skills.
- Effective collaboration skills for partnering with distributed teams across regions and time zones.
Nice To Haves
- Experience with Databricks and/or Genie.
- Background in media, advertising, or marketing technology.
- Experience with MLOps, model‑serving infrastructure, and production model lifecycle.
- Experience building conversational AI or copilot‑style products.
- Open‑source contributions related to agentic AI.
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, maintainability, and high-quality delivery.
- Build agentic wrappers and interfaces around data science models (e.g., MMM, forecasting, incrementality) to support conversational access.
- Configure Genie spaces to enable client data exploration and self‑service analytics.
- Develop reusable agent components, prompt templates, and tool‑use libraries to accelerate future deployments.
- Evaluate LLM providers based on capability, cost, and latency, and recommend optimal options for each use case.
- Collaborate with the Offshore Director Staff AI Engineer on architecture direction, design patterns, and coding standards.
- Write production‑grade Python with appropriate error handling, observability, CI/CD integration, and deployment automation.
- Partner closely with Data Scientists to understand models and create resilient, accurate agent interfaces.
- Contribute to technical documentation, architecture decision records, and operational runbooks.
Benefits
- Medical, vision, and dental insurance,
- Life insurance,
- Short-term and long-term disability insurance,
- 401k,
- Flexible paid time off,
- At least 15 paid holidays per year,
- Paid sick and safe leave, and
- Paid parental leave.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
