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Job Description
Structured overview of role & requirementsAbout This Role
Lead architecture and hands-on delivery of complex data and generative AI solutions on Google Cloud Platform (GCP).
Design, build, and operate scalable batch and streaming data pipelines, production-grade RAG systems, APIs, and agentic AI workflows.
Own solutions from design through production deployment and provide expert troubleshooting for complex L3 production issues.
Minimum Requirements
6-10 years of IT experience with hands-on engineering in large-scale data systems production.
Expert proficiency in Python and advanced SQL; strong GCP experience with mastery in BigQuery, Cloud Composer, and Cloud Run.
Experience with Terraform for infrastructure as code and CI/CD pipeline management including Cloud Build and Artifact Registry.
Not explicitly mentioned: Mandatory educational degrees or strict location and notice period requirements.
Ideal Candidate Profile
Deep practical experience designing and deploying conversational AI and generative AI systems including RAG and large language models (e.g., Gemini).
Proven ability to build enterprise AI solutions using the Gemini Enterprise Agent Platform and advanced agentic AI workflows with Google ADK.
Experienced in operationalizing AI models with containerization (Docker) and implementing security and governance controls for cloud-based data and AI applications.