Director,StaffAIEngineer

**Job Description:** Job Description **Role Summary** Serve as the technical anchor for Dentsu's agentic AI engineering team in DGS. You will lead architecture decisions for multi-agent systems, set engineering standards, and mentor a growing team of agentic engineers. This is a hands-on leadership role: you write code, review code, and set the technical direction while the Senior Director handles the VP-level strategy and stakeholder management. **Key Responsibilities** * Lead technical architecture for multi-agent systems, LLM orchestration, and AI automation workflows * Set up and maintain the agentic engineering stack: frameworks, CI/CD, testing, monitoring, and deployment patterns * Own the technical design for AI orchestration use cases across 4+ client implementations * Build and maintain reusable agent components, tool-use libraries, and prompt templates * Lead Genie space setup and configuration for client data exploration * Mentor and technically lead 3 Senior Agentic Engineers, conducting code reviews and architecture discussions * Evaluate LLM providers (model selection, cost optimization, latency tradeoffs) and recommend choices * Bridge the gap between Data Science model outputs and agentic deployment, ensuring models are served efficiently * Collaborate with the onshore Senior AI Engineer on shared architecture decisions and technical standards * Contribute to technical documentation, runbooks, and operational playbooks for the agentic platform **Required Qualifications** * 7+ years of software engineering experience with at least 2 years in AI/ML engineering * Deep expertise in Python and production-grade software architecture * Hands-on experience building and deploying LLM-powered applications at scale * Strong knowledge of agent orchestration patterns (LangChain, LangGraph, AutoGen, or custom frameworks) * Experience with cloud infrastructure (Azure preferred) including container orchestration and serverless patterns * Track record of mentoring en