GCP Data and AI Engineer, AVP

Aimlroles; Pune District; On-site; INR 3,600,000 - 6,000,000; Full time

Benefits offered by this job

Best in class leave policy

Gender neutral parental leaves

Childcare reimbursement

Certifications sponsorship

Employee Assistance Program

Hospitalization Insurance

Term life Insurance

Health screening

Job summary

Deutsche Bank in Pune, India seeks an AVP-level GCP Data & AI Engineer to lead architecture and hands-on delivery of complex data and generative AI solutions on GCP. You will own designs through production deployment, establishing engineering standards, and guiding critical technical decisions.

You will build scalable batch/streaming pipelines, RAG systems, and agentic workflows, leveraging Vertex AI and Cloud Run, while ensuring security and governance across data and AI deployments.

Qualifications

• 10+ years of IT experience designing and deploying large-scale data systems.
• Expert-level Python and SQL with complex query optimization.
• Extensive GCP experience, BigQuery, Cloud Composer, Cloud Run.
• Terraform for infrastructure as code; CI/CD pipelines.
• Experience with RAG pipelines, generative AI, and agentic workflows.
• Security, IAM, encryption, data governance in production.

Responsibilities

• Design, build, and operate sophisticated AI applications on GCP including RAG pipelines.
• Leverage Vertex AI to train and deploy ML/AI models.
• Develop agentic workflows to automate business processes.
• Create REST APIs in Python and deploy via containerized apps on Cloud Run.
• Design data pipelines and data quality checks across batch/streaming.
• Own security and governance for data/AI solutions.
• Provide escalation support for complex production issues.

Skills

Python

SQL

GCP

BigQuery

Cloud Composer

Cloud Run

Terraform

CI/CD pipelines

Data pipelines

RAG pipelines

Generative AI

Dialogflow CX

Tools

Docker

Kubernetes

Vertex AI

BigQuery

Cloud Composer

Cloud Run

Terraform

Cloud Build

Artifact Registry

Job description

Job Description:

Job Title: GCP Data and AI Engineer, AVP

Location: Pune, India

Role 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 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-gradeRAG pipelineson GCP.
• Leverage theVertex AI platformto train, fine-tune, and deploy machine learning and generative AI models.
• Design and implement complexagentic workflowsto automate and optimize business processes.
• Develop, consume, and host mission‑criticalREST APIsusing Python, deployed as containerized applications onCloud Run.

Data Engineering & Pipelines:

• Design, develop, and maintain scalable batch and streamingdata pipelinesusing Python, SQL, Cloud Composer, and Pub/Sub.
• Develop and optimize complexSQL queriesin BigQuery 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 usingTerraform.

• 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 experience

Mandatory Engineering Skills:

• 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 inPythonand advancedSQL, including complex query optimization and data modelling.
• Cloud Platform:Extensive hands‑on experience building solutions onGCP. Experience with Azure or AWS is also valuable.

• Core GCP Services:Mastery of BigQuery, Cloud Composer (or Apache Airflow), and Cloud Run in production environments.

• Infrastructure & Automation:Proficient in defining infrastructure as code usingTerraformand designing and managing robust CI/CD pipelines usingCloud 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 moderndata 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‑gradeRAG (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 theGoogle Agent Development Kit (ADK). Knowledge of concepts such as theA2A (agent‑to‑agent) protocolandagent cardsis highly desirable.

• AgentOps & Application Hosting:Demonstrable experience in operationalizing AI models and hosting applications using containers (Docker).

How we’ll support you

• Training and development to help you excel in your career
• Coaching and support from experts in your team
• A culture of continuous learning to aid progression
• A range of flexible benefits that you can tailor to suit your needs

About us and our teams

Please visit our company website for further information:

https://www.db.com/company/company.html

We 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.