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Job Description
Structured overview of role & requirementsAbout This Role
Lead architecture, design, and hands-on delivery of complex data and generative AI solutions on GCP, including production-grade RAG systems and agentic workflows.
Build and maintain scalable batch and streaming data pipelines, containerized REST APIs, and cloud infrastructure using Terraform, ensuring security, testing, and operational support.
Own end-to-end solution lifecycle from design through production deployment and provide technical guidance on critical engineering decisions and complex production issues.
Minimum Requirements
10+ years of hands-on IT engineering experience, including large-scale data systems design, building, deployment, and support in production.
Expert-level proficiency in Python and advanced SQL with complex query optimization skills.
Extensive experience with Google Cloud Platform services, notably BigQuery, Cloud Composer/Airflow, and Cloud Run.
Proficient in Terraform for infrastructure as code and CI/CD pipeline management with automated testing and security controls.
Ideal Candidate Profile
Demonstrated practical expertise in modern distributed system design and implementation of large-scale data and AI applications on GCP.
Experience building and deploying conversational AI solutions (Dialogflow CX), Gemini Enterprise Agent Platform solutions, and generative AI RAG systems involving LLMs and vector databases.
Strong operational capability in containerized AI application hosting, multi-agent AI workflow development using Google Agent Development Kit and associated protocols.