# AI Automation Engineer, VP at Deutsche Bank

Deutsche Bank is hiring an AI Automation Engineer, VP. Level rates it Works on AI ●●●○; you can [apply on Deutsche Bank](https://jobsbylevel.com/go/d5ad1665-f66f-410d-b318-aaa07e83a03e?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. Bangalore Velankani ISC.

## Details

- Company: [Deutsche Bank](https://jobsbylevel.com/companies/deutsche-bank)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Bangalore Velankani ISC
- Posted: November 6, 2026
- Apply: https://jobsbylevel.com/go/d5ad1665-f66f-410d-b318-aaa07e83a03e?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=ai-automation-engineer-vp-at-deutsche-bank-e0bcc7

## Prepare for this job

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## Description

Job Description: Job Title: AI Automation Engineer, VP Location: Bangalore, India Corporate Title: VP Role Description We are seeking a VP AI/Automation Engineer to define and drive the adoption of AI-powered solutions across our Hybrid Cloud Infrastructure (HCI) estate. This role is responsible for leading the strategy, design, and scaling of AI-driven automation, with a focus on significantly reducing manual effort, improving resilience, and enabling next-generation infrastructure operations. You will partner with Unix Engineering and Operations leadership to identify high-impact opportunities and deliver AI solutions at scale across global platforms. 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 Lead the design and delivery of AI-driven automation strategy across Linux/Unix compute infrastructure Identify and prioritize high-impact opportunities for automation (manual effort reduction, cost avoidance, operational efficiency) Define and implement scalable AI platforms, frameworks, and standards for infrastructure operations Drive development of AI-powered solutions for: Incident detection, prediction, and remediation support (AIOps). Intelligent diagnostics and root cause analysis. Automated runbooks and self-healing systems (with human approval checkpoints). Advanced agentic AI capabilities focused on generating comprehensive proposals for changes, drafting tickets for approvals, and providing data-driven insights to operators. Deliver end-to-end AI-enabled solutions at scale, integrated with enterprise tooling and platforms Ensure all solutions align with enterprise architecture, security, and regulatory standards, with a strong emphasis on auditability and control. Partner with global teams (US, EMEA, APAC) to drive adoption and embed AI/Automation into operating models. Act as a technical leader and Subject Matter Expert (SME), mentoring engineers, and shaping the engineering direction for AI/Automation within Unix Services. Evaluate and drive the adoption of advanced AI capabilities (GenAI, AI agents, automation platforms), focusing on their responsible and effective application within our defined constraints. Your skills and experience 10+ years of experience in software engineering, infrastructure engineering, or advanced automation roles, with a significant focus on AI/ML. Proven experience delivering large-scale automation or transformation initiatives in complex enterprise environments. Advanced programming skills in Python, Bash (SQL desirable) Deep experience with: Containerization technologies (Kubernetes, Docker) and Infrastructure-as-Code (IaC), CI/CD. AI/ML frameworks (PyTorch, TensorFlow). Experience with cloud platforms (GCP preferred). Strong understanding of enterprise infrastructure and operations (Linux/Unix environments) Ability to translate technical solutions into measurable business value (cost, efficiency, risk reduction) Preferred Qualifications Experience driving AIOps or AI-led transformation programs within large organizations. Strong familiarity with GenAI / LLM-based automation, specifically regarding agents, copilots, and orchestration frameworks, with a clear understanding of their application in support and approval workflows. Experience designing and implementing enterprise-scale automation platforms. Relevant certifications in AI/ML or Cloud. Success Measures Measurable reduction in manual effort through AI-driven and conventional automation. Scale of AI/Automation adoption across multiple platforms and

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Source: https://jobsbylevel.com/jobs/ai-automation-engineer-vp-at-deutsche-bank-e0bcc7

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