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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 GCP, including production-grade RAG pipelines.
Own end-to-end solution design through production deployment, establishing engineering standards for security, testing, deployment, and operational support.
Provide technical guidance on critical engineering decisions and resolve complex L3 production issues.
Minimum Requirements
6-10 years of IT experience designing, building, deploying, and supporting large-scale data systems in production.
Expert proficiency in Python and advanced SQL, including complex query optimization and data modelling.
Extensive hands-on experience with GCP, including Big Query, Cloud Composer (or Apache Airflow), Cloud Run, and Terraform.
Experience with infrastructure as code, CI/CD pipelines on GCP, containerized deployment, and security/governance controls for data and AI solutions.
Ideal Candidate Profile
Senior individual contributor with deep expertise in modern data architectures, distributed systems, and production-grade AI/ML solutions.
Experience developing conversational AI solutions using Dialogflow CX or CX Agent Studio and hands-on work with Gemini Enterprise Agent Platform.
Demonstrated ability in building and operationalizing RAG systems, agentic AI workflows, multi-agent systems, and containerized AI application hosting on GCP.