Teams at dentsu

Lead the design, development, and production ownership of cloud-native applications, platforms, and services. Establish scalable architecture patterns and engineering standards, while driving reliability, observability, security, and cloud cost optimization. Mentor engineers, provide technical leadership, partner with data science and business stakeholders, and balance hands-on coding with ownership of platform strategy and technical outcomes.

Leads the creation of dentsu’s AI Engineering discipline and portfolio of AI-driven marketing products. Responsibilities include defining architecture, engineering standards, evaluation practices, guardrails, and technical strategy; designing and deploying production-ready AI systems, LLM applications, agentic workflows, and intelligent automation; influencing stakeholders; and shaping long-term AI platform capabilities and strategy.

Build and maintain cloud-native applications and services supporting data, analytics, and AI solutions. Develop scalable software using modern engineering practices, deployment pipelines, and cloud platforms. Collaborate with data engineers and data scientists to deliver reliable, observable, production-ready products. Contribute to architecture decisions, integrations, platform engineering, monitoring, performance optimization, and ongoing operations across dentsu and client cloud environments.