Principal Engineer, AI and Data Platforms - Director
Core
Lead technical direction and hands-on engineering for enterprise AI and data platforms (Ada and Vista) on Google Cloud, ensuring scalability, reliability, and production readiness.
Role type
Principal Engineer / Director-level hands-on IC
Builds
Production-grade AI runtimes, data services, distributed systems, and cloud-native platform capabilities on Google Cloud
Domain
Financial Services / AI Engineering / Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Google Cloud Platform (GKE, Vertex AI, BigQuery, Dataflow), Agentic AI & LLM integration, Large-scale data platforms & streaming, Kubernetes & Terraform, Distributed systems & SRE
Preferred skills
Technical leadership across multiple teams, Mentoring engineers, Influencing technical standards, Hands-on code review and design guidance
Technologies
Google Cloud Platform, GKE, Vertex AI, BigQuery, Pub/Sub, Dataflow, Kubernetes, Terraform, GitOps, OpenTelemetry
Responsibilities
Provide hands-on technical leadership for Ada and Vista teams, Solve complex platform engineering problems in AI runtimes and distributed systems, Design reusable platform services and developer tooling, Improve scalability and reliability of production AI services, Lead deep technical reviews on system design and incident learning, Raise engineering standards through coaching and mentoring
Seniority
Principal, hands-on IC with strategic influence