AI Automation Engineer, AVP

Deutsche Bank; Pune District; On-site; INR 2,500,000 - 4,000,000; Full time

Benefits offered by this job

Best in class leave policy

Gender neutral parental leaves

Childcare assistance reimbursement

Certifications and education support

Employee Assistance Program

Hospitalization Insurance for dependis

Accident and Term life Insurance

Health screening for 35+ yrs

Job summary

Deutsche Bank in Pune, India, seeks an AI Automation Engineer (AVP) to design, build, and deploy AI-driven automation across hybrid cloud infrastructure. You will automate Linux/Unix server tasks, reduce manual effort, and raise reliability with AI-enabled workflows.

The role requires 5+ years in software engineering with AI exposure, Python/Bash, container tech (Kubernetes/Docker), and IaC/CI‑CD experience. Cloud/GCP knowledge and monitoring with Grafana are valued.

Qualifications

• 5+ years of experience in software engineering with demonstratable experience with AI engineering.
• Strong programming skills in Python and Bash, SQL desirable.
• Proven ability to deliver end-to-end technical solutions.
• Hands-on experience with containerization technologies such as Kubernetes and Docker.
• Infrastructure-as-Code (IaC) principles and tools, and CI/CD pipelines (e.g., GitHub).
• AI/ML frameworks (e.g., PyTorch, TensorFlow).
• Cloud platforms (GCP preferred) and experience with monitoring tools (e.g., Grafana).
• Solid background in Software Engineering and Computer Science fundamentals.

Responsibilities

• Act as a hands-on technical contributor delivering AI-driven automation solutions across Linux/Unix server infrastructure.
• Identify and prioritize repetitive manual activities suitable for automation or AI augmentation.
• Work on defined problem areas within established architecture and strategy.
• Develop intelligent workflows to improve incident detection, analysis, and remediation support, diagnostics, root cause analysis, and proactive issue identification.
• Automation of operational runbooks and support tooling.
• Agentic AI solutions primarily for generating approval requests, drafting change tickets, or providing recommendations for human review.
• Contribute to the design and development of scalable automation components aligned with security and risk standards.
• Collaborate with engineering and operations teams to embed AI capabilities into daily workflows.
• Evaluate emerging AI capabilities for enhancing operational efficiency and human decision-making.

Skills

Python

Bash

SQL

Kubernetes

Docker

IaC

CI/CD

PyTorch

TensorFlow

GCP

Grafana

Tools

Kubernetes

Docker

GitHub

Grafana

Job description

Job Description:

Job Title- AI Automation Engineer, AVP

Location- Pune, India

Role Description

• We are seeking a highly motivated AI/Automation Engineer (AVP) to design, build, and deploy AI-driven solutions that significantly reduce manual effort across our Hybrid Cloud Infrastructure (HCI) Compute estate.
• The primary focus of this role is to automate repeatable tasks and improve the reliability and scalability of our Linux/Unix server Compute platforms.
• You will work closely with Unix Engineering and Operations teams to identify automation opportunities and deliver AI-enabled solutions that enhance day-to-day operational performance and reduce dependency on manual processes.

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

• Act as a hands-on technical contributor delivering AI-driven automation solutions across Linux/Unix server infrastructure

• Identify and prioritize repetitive manual activities suitable for automation or AI augmentation

• Work on defined problem areas (e.g., specific operational tasks, tooling improvements) within established architecture and strategy

• Develop intelligent workflows to improve:

  • Incident detection, analysis, and remediation support (e.g., suggesting solutions, triaging).
  • System diagnostics, root cause analysis, and proactive issue identification.
  • Automation of operational runbooks and support tooling.
  • Agentic AI solutions primarily for generating approval requests, drafting change tickets, or providing recommendations for human review.

• Contribute to the design and development of scalable and reusable automation components and frameworks, ensuring alignment with enterprise architecture, security, compliance, and risk standards.

• Collaborate with engineering and operations teams to embed AI capabilities and automation into daily workflows and operational processes.

• Evaluate emerging AI capabilities (e.g., GenAI, AI agents) for their potential to enhance operational efficiency, focusing on how they can support human decision-making and approval processes.

• Work within established architecture and strategy to solve defined problem areas (e.g., specific operational tasks, tooling improvements)

Your skills and experience

• 5+ years of experience in software engineering with demonstratable experience with AI engineering
• Strong programming skills in Python and Bash, SQL desirable.
• Proven ability to deliver end-to-end technical solutions
• Hands-on experience with: Containerization technologies such as Kubernetes and Docker.
  • Infrastructure-as-Code (IaC) principles and tools, and CI/CD pipelines (e.g., GitHub).
  • AI/ML frameworks (e.g., PyTorch, TensorFlow).
  • Cloud platforms (GCP preferred) and experience with monitoring tools (e.g., Grafana)
• Solid background in Software Engineering and Computer Science fundamentals.

Preferred Qualifications

• Experience building AI-driven automation or AIOps solutions in infrastructure environments
• Familiarity with the AI/ML lifecycle (training, inference, deployment) and foundational concepts of GenAI / LLM-based solutions (e.g., copilots, automation agents, focusing on recommendation and drafting capabilities).
• Exposure to enterprise-scale Linux/Unix environments
• Relevant certifications in Cloud or AI/ML

Success Measures

• Delivery of AI/Automation use cases that demonstrably reduce manual effort in system administration.
• Increased automation coverage across server support processes.
• Faster incident resolution and improved platform reliability through AI-augmented diagnostics and support.
• Development and adoption of reusable automation components.
• Reduction in manual provisioning and operational workload by automating routine tasks.

Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

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.