GCP Data and AI Engineer, AVP
Deutsche Bank (company site, opens in a new tab)10+ yrsPuneOn-siteDirect career pageEst. 35–60 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead architecture and hands-on delivery of complex data and generative AI solutions on GCP, including design through production deployment.
- Build and operationalize AI applications such as production-grade RAG pipelines, agentic workflows, and containerized REST APIs using Python on Cloud Run.
- Own cloud infrastructure as code, CI/CD pipelines, security, and governance controls; act as key escalation point for complex L3 production issues.
Minimum Requirements
- 10+ years of IT experience as a hands-on engineer responsible for designing, building, deploying, and supporting large-scale data systems.
- Expert proficiency in Python and advanced SQL including complex query optimisation and data modelling.
- Extensive practical experience with GCP core services: BigQuery, Cloud Composer (or Apache Airflow), Cloud Run, Terraform, and CI/CD pipeline management.
- Experience with modern data system design patterns, conversational AI (Dialogflow CX or CX Agent Studio), Gemini Enterprise Agent Platform, and production-grade generative AI systems such as RAG and LLMs.
Ideal Candidate Profile
- Senior individual contributor comfortable with end-to-end AI and data engineering solution delivery in highly complex, regulated environments.
- Strong strategic fit includes demonstrated expertise with agentic AI architectures, multi-agent systems, and operationalising models using container technologies.
- Proven ability to lead critical production deployments with deep technical ownership of security, compliance, and reliability in enterprise cloud platforms.