GCP Data & AI Engineer, AS

Deutsche Bank AG; Maharashtra; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Best in class leave policy

Gender neutral parental leaves

Childcare reimbursement

Certification sponsorship

Employee Assistance Program

Job summary

Deutsche Bank AG seeks an AVP-level GCP Data & AI Engineer to lead architecture and delivery of data and generative AI solutions on GCP in Pune, India. You will design scalable pipelines, RAG systems, and agentic workflows, while establishing security, testing, and deployment standards.

You will own solutions from design to production deployment and guide critical engineering decisions. The role emphasizes hands-on development, complex data systems, and production-grade AI applications, with

Qualifications

• 6-10 years of IT experience designing, building, deploying, and supporting large-scale data systems.
• Proficient in Python and advanced SQL with data modeling and complex queries.
• Hands-on GCP experience, preferably with BigQuery, Cloud Composer, and Cloud Run.
• Experience with Gemini Enterprise Agent Platform, agent workflows, and security/compliance considerations.

Responsibilities

• Design, build, and operationalize sophisticated AI applications and production-grade RAG pipelines on GCP.
• Develop and deploy REST APIs using Python with containerized deployment on Cloud Run.
• Design and maintain scalable batch and streaming data pipelines using Python, SQL, Pub/Sub, and Cloud Composer.
• Implement infrastructure as code with Terraform and manage CI/CD pipelines for data and AI apps.
• Own security and governance controls for data/AI, including IAM, encryption, and audit logging.

Skills

Python

SQL

Data engineering

GCP

AI/ML

RAG

Tools

Terraform

Cloud Run

BigQuery

Airflow

Pub/Sub

Job description

Job Description:Job Title: GCP Data & AI Engineer, ASLocation: Pune, IndiaRole Description:As an AVP and Senior GCP Data and AI Engineer, you will lead the architecture and hands-on delivery of complex data and generative AI solutions on GCP. Working as a senior individual contributor, you will translate business and technical requirements into production-ready designs; build scalable batch and streaming pipelines, APIs, RAG systems, and agentic workflows; and establish engineering standards for security, testing, deployment, resilience, and operational support. You will own solutions from design through production deployment and provide technical guidance on critical engineering decisions and complex production issues .What we’ll offer youAs part of our flexible scheme, here are just some of the benefits that you’ll enjoyBest in class leave policy.Gender neutral parental leaves100% reimbursement under childcare assistance benefit (gender neutral)Sponsorship for Industry relevant certifications and educationEmployee Assistance Program for you and your family membersComprehensive Hospitalization Insurance for you and your dependentsAccident and Term life InsuranceComplementary Health screening for 35 yrs. and aboveYour 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 Gemini Enterprise Agent 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.Design, develop, integrate, secure, version, test, deploy, consume, and operate mission-critical REST APIs using Python, with containerised deployment 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 in Big Query for large-scale data analysis, extraction, and transformation.Automate data quality and ETL testing procedures using Python and SQL.Infrastructure & Operations:Develop and deploy all cloud infrastructure as code using Terraform .Implement and manage CI/CD pipelines for data and AI applications, including automated testing, security checks, controlled environment promotion, and reliable production deployment.Own security and governance controls for data and AI solutions, including IAM, least-privilege access, encryption, secrets management, audit logging, data protection, and compliance with enterprise standards.Serve as a key escalation point for complex L3 production issues, providing expert troubleshooting and resolution.Your skills and experienceMandatory Engineering Skills:6-10 years of IT experience as a hands-on engineer, including responsibility for designing, building, deploying, and supporting large-scale data systems in production.Expert-Level Languages: Deep proficiency in Python and advanced SQL , including complex query optimization and data modelling.Cloud Platform: Extensive hands-on experience building solutions on GCP . Experience with Azure or AWS is also valuable.Core GCP Services: Mastery of Big Query , Cloud Composer (or Apache Airflow), and Cloud Run in production environments.Infrastructure & Automation: Proficient in defining infrastructure as code using Terraform and designing and managing robust CI/CD pipelines using Cloud Build , Artifact Registry , automated testing, vulnerability scanning, and environment-based release strategies.Advanced Technical & Design Expertise: We expect candidates to have deep, practical experience in the following areas, with a portfolio of projects demonstrating their expertise.System Design: Strong understanding of modern data patterns , distributed systems, and architectural best practices.Conversational AI: Hands-on experience designing and developing conversational AI solutions and chatbots using Dialog flow CX (Conversational Agents) or CX Agent Studio .Gemini Enterprise Agent Platform: Extensive hands-on experience building enterprise AI solutions using the Gemini Enterprise Agent Platform, including agent configuration, integration, evaluation, security, deployment, and operational monitoring.Generative AI Systems: Proven experience building and deploying production-grade RAG (Retrieval-Augmented Generation) systems. Deep understanding of LLMs (like Gemini), vector databases , and embedding models.Agentic AI Application & Workflow Development: Strong practical experience designing and developing agentic AI applications, complex workflows, agentic patterns, and multi-agent systems using the Google Agent Development Kit (ADK) . Knowledge of concepts such as the A2A (agent-to-agent) protocol and agent cards is highly desirable.AgentOps & Application Hosting: Demonstrable experience in operationalizing AI models and hosting applications using containers (Docker).How we’ll support youTraining and development to help you excel in your careerCoaching and support from experts in your teamA culture of continuous learning to aid progressionA range of flexible benefits that you can tailor to suit your needsAbout us and our teamsPlease visit our company website for further information:https://www.db.com/company/company.htmlWe strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.We welcome applications from all people and promote a positive, fair and inclusive work environment.