Deutsche Bank Group
GCPDataandAIEngineer,AVP
Neural analysis suggests this role is
optimal for Senior candidates.
“GCP Data and AI Engineer, AVP at Deutsche Bank Group. Skills: GCP Data and AI Engineering, Python, SQL, BigQuery, Vertex AI, Generative AI, RAG pipelines, Terraform, CI/CD. hands-on development of our most complex data pipelines and generative AI solutions, from design through to production deployment. Design, build, and operationalize sophisticated AI applications, including production-grade RAG pipelines on GCP”
What You'll Achieve.
ensuring the solutions you build are scalable, resilient, and forward-thinking
Industry & Context.
expert troubleshooting and resolution
What They're Looking For.
Must Have
10 + years of IT experience as a hands-on engineer with a proven track record of building and deploying large-scale data systems, Deep proficiency in Python and advanced SQL, including complex query optimization and data modeling, Extensive hands-on experience building solutions on GCP, Mastery of BigQuery, Cloud Composer (or Apache Airflow), and Cloud Run in production environments, Proficient in defining infrastructure as code using Terraform and designing robust CI/CD pipelines
Nice to Have
Experience with Azure or AWS is also valuable, Sponsorship for Industry relevant certifications and education, Deep, practical experience in system design, modern data patterns, distributed systems, and architectural best practices, Extensive, hands-on experience building solutions using the Vertex AI platform, including model fine-tuning, custom training, and scalable endpoint deployment, Proven experience building and deploying production-grade RAG (Retrieval-Augmented Generation) systems, Deep understanding of LLMs (like Gemini), vector databases, and embedding models, Practical knowledge of Agentic Patterns, multi-agent systems, and complex workflows, Awareness of emerging frameworks (Google ADK) and concepts like a2a (agent-to-agent) protocol and agent cards is highly desirable, Demonstrable experience in operationalizing AI models and hosting applications using containers (Docker)
What You'll Do.
hands-on development of our most complex data pipelines and generative AI solutions
from design through to production deployment
and operationalize sophisticated AI applications
including production-grade RAG pipelines on GCP
Leverage the Vertex AI platform to train
and deploy machine learning and generative AI models
Design and implement complex agentic workflows to automate and optimize business processes
and host mission-critical REST APIs using Python
deployed as containerized applications on Cloud Run
and maintain scalable batch and streaming data pipelines using Python
Develop and optimize complex SQL queries in BigQuery for large-scale data analysis
Automate data quality and ETL testing procedures using Python and SQL
Develop and deploy all cloud infrastructure as code using Terraform
Implement and manage CI/CD pipelines to ensure smooth and reliable deployment of data and AI applications
Serve as a key escalation point for complex L3 production issues
providing expert troubleshooting and resolution
How You'll Work.
Team & Collaboration
working collaboratively
Full Job Description
## _**Job Description:**_ **Job Title:****GCP Data and AI Engineer** ,**AVP** **Location: Pune, India** **Role Description:** As an AVP, Senior GCP Data and AI Engineer, you will be a lead technologist and individual contributor at the forefront of our data and artificial intelligence initiatives. This role requires an expert builder with a deep, practical understanding of system architecture and modern design patterns. You will be responsible for the hands-on development of our most complex data pipelines and generative AI solutions, from design through to production deployment, ensuring the solutions you build are scalable, resilient, and forward-thinking **What we’ll offer you** As part of our flexible scheme, here are just some of the benefits that you’ll enjoy * Best in class leave policy. * Gender neutral parental leaves * 100% reimbursement under childcare assistance benefit (gender neutral) * Sponsorship for Industry relevant certifications and education * Employee Assistance Program for you and your family members * Comprehensive Hospitalization Insurance for you and your dependents * Accident and Term life Insurance * Complementary Health screening for 35 yrs. and above **Your key responsibilities:** As a Senior Engineer, your hands-on responsibilities will include: **AI & Application Development:** * Design, build, and operationalize sophisticated AI applications, including production-grade **RAG pipelines** on GCP. * Leverage the **Vertex AI platform** to train, fine-tune, and deploy machine learning and generative AI models. * Design and implement complex **agentic workflows** to automate and optimize business processes. * Develop, consume, and host mission-critical **REST APIs** using Python, deployed as containerized applications on **Cloud Run**. **Data Engineering & Pipelines:** * Design, develop, and maintain scalable batch and streaming **data pipelines** using Python, SQL, Cloud Composer, and Pub/Sub. * Develop and optimize complex **SQL queries*
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