Director, Staff AI Engineer

Role Summary

Serve as the technical anchor for Dentsus 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 engineers and raising team engineering standards

• Experience with MLOps: model serving monitoring versioning and cost management

• Strong system design skills with experience in distributed systems and API architecture

• Excellent written communication for technical documentation and cross-timezone collaboration

Preferred Qualifications

• Experience with Databricks Unity Catalog and/or Genie

• Background in media technology adtech or marketing analytics platforms

• Experience with RAG architectures vector databases and semantic search at scale

• Contributions to open-source AI/ML projects

• Experience leading technical teams in a DGS/offshore delivery model