Staff AI Engineer Director

Job Description:

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

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