Sr. Director - AI Engineering
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仕事内容
Lead the AI Foundations engineering effort, delivering a scalable platform that enables teams to build, deploy, evaluate, and govern AI agents and ML models at enterprise scale.
Own three core platform areas: ML Platform & Developer Productivity; Model & Agent Lifecycle & Governance; and Agent Observability, Evaluation & Reliability.
Make agent evaluation and experimentation default platform capabilities with offline evaluation, pre-deployment quality gates, controlled experimentation, and continuous post-deployment monitoring.
Drive end-to-end observability across data pipelines, model inference, tool execution, and agent outcomes with clear SLIs/SLOs for quality, latency, reliability, and cost.
Standardize ML and agent development workflows to reduce time-to-production and eliminate bespoke infrastructure across teams.
Partner cross-functionally with data science, product, security, legal, and Responsible AI teams to translate business requirements into enforceable engineering systems and to build a high-performing organization.
Own three core platform areas: ML Platform & Developer Productivity; Model & Agent Lifecycle & Governance; and Agent Observability, Evaluation & Reliability.
Make agent evaluation and experimentation default platform capabilities with offline evaluation, pre-deployment quality gates, controlled experimentation, and continuous post-deployment monitoring.
Drive end-to-end observability across data pipelines, model inference, tool execution, and agent outcomes with clear SLIs/SLOs for quality, latency, reliability, and cost.
Standardize ML and agent development workflows to reduce time-to-production and eliminate bespoke infrastructure across teams.
Partner cross-functionally with data science, product, security, legal, and Responsible AI teams to translate business requirements into enforceable engineering systems and to build a high-performing organization.
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