GCP Data & AI Engineer, AS

Lead architecture and hands-on delivery of complex data and generative AI solutions on GCP including batch/streaming pipelines, APIs, RAG systems, and agentic workflows.

Own end-to-end solution lifecycle from design through production, ensuring security, testing, deployment, resilience, and operational support standards.

Provide technical guidance and act as escalation point for complex production issues and critical engineering decisions.

6-10 years of hands-on IT engineering experience designing, building, deploying, and supporting large-scale production data systems.

Expert proficiency in Python and advanced SQL including query optimization and data modeling.

Extensive hands-on experience with GCP services such as Big Query, Cloud Composer (or Apache Airflow), Cloud Run; proficiency in Terraform and CI/CD pipeline management on Cloud Build.

Experience with conversational AI platforms (Dialogflow CX or CX Agent Studio), generative AI including RAG systems, and enterprise AI using Gemini Enterprise Agent Platform.

Senior-level individual contributor with deep practical experience in modern data architectures, distributed systems, and advanced AI application development.

Strong technical leadership in building agentic AI applications, workflows, and multi-agent systems utilizing Google Agent Development Kit (ADK).

Experienced in operationalizing containerized AI applications and managing secure, compliant cloud AI infrastructure at scale.