GCP Data & AI Engineer, AS

Job Description

Job Title: GCP Data & AI Engineer, AS

Location: Pune, India

Position Description:

As an AVP and Senior GCP Data and AI Engineer, you will lead the architecture and hands-on delivery of involved data and generative AI solutions on GCP. Working as a senior individual contributor, you will translate business and technical criteria into production-ready designs; develop 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 deliver technical guidance on critical engineering decisions and multi-layered 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 main responsibilities:

As a Senior Engineer, your hands-on responsibilities will include:

AI & Application Development:

• Design, establish, and operationalize sophisticated AI applications, among them production-grade RAG pipelines on GCP.
• Use the Gemini Enterprise Agent Platform to train, fine-tune, and deploy machine learning and generative AI models.
• Design and implement involved agentic workflows to automate and optimize business processes.

• Design, shape, integrate, secure, version, test, deploy, consume, and operate mission-critical REST APIs using Python, with containerised deployment on Cloud Run.

Data Engineering & Pipelines:

• Design, build, and uphold scalable batch and streaming data pipelines using Python, SQL, Cloud Composer, and Pub/Sub.
• Shape and optimize intricate 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:

• Create and deploy all cloud infrastructure as code using Terraform.

• Implement and run CI/CD pipelines for data and AI applications, such as automated testing, security checks, controlled environment promotion, and reliable production deployment.

• Own security and governance controls for data and AI solutions, covering IAM, least-privilege access, encryption, secrets management, audit logging, data protection, and compliance with enterprise standards.

• Serve as a key escalation point for intricate L3 production issues, delivering expert troubleshooting and resolution.

Your abilities and experience

Mandatory Engineering Capabilities:

• 6-10 years of IT experience as a hands-on engineer, covering responsibility for designing, creating, deploying, and supporting large-scale data systems in production.

• Expert-Level Languages: Deep proficiency in Python and advanced SQL, such as involved query optimization and data modelling.
• Cloud Platform: Extensive hands-on experience creating 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 overseeing robust CI/CD pipelines using Cloud Establish, Artifact Registry, automated testing, vulnerability scanning, and environment-based release strategies.

Advanced Technical & Design Expertise: We expect people to have deep, practical background in the following areas, with a portfolio of projects demonstrating their expertise.

• System Design: Robust understanding of modern data patterns, distributed systems, and architectural best practices.

• Conversational AI: Hands-on experience designing and shaping conversational AI solutions and chatbots using Dialog flow CX (Conversational Agents) or CX Agent Studio.

• Gemini Enterprise Agent Platform: Extensive hands-on experience developing enterprise AI solutions using the Gemini Enterprise Agent Platform, covering agent configuration, integration, evaluation, security, deployment, and operational monitoring.

• Generative AI Systems: Proven experience creating 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: Solid practical experience designing and creating agentic AI applications, multi-layered workflows, agentic patterns, and multi-agent systems using the Google Agent Development Kit (ADK). Understanding of concepts such as the A2A (agent-to-agent) protocol and agent cards is highly desirable.

• AgentOps & Application Hosting: Demonstrable exposure to 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.

This GCP Data & AI Engineer, AS vacancy is based in Pune.