AI Automation Engineer, VP
Deutsche Bank is hiring an AI Automation Engineer, VP. Level rates it ; you can apply on Deutsche Bank.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include PyTorch, TensorFlow and AI agents.
- Level classifies it as an executive role.
- Level lists 1,100+ other open roles at Deutsche Bank.
- The role was posted within the past two weeks.
AI in this role
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 regions.
- Delivery of enterprise-grade AI/Automation frameworks that are robust, secure, and adhere to regulatory requirements.
- Improved operational resilience, stability, and efficiency across infrastructure platforms.
- Tangible contribution to cost reduction and productivity gains.
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.
How we rate this
AI Automation Engineer, VP at Deutsche Bank rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a workflow you automated with AI tools, end to end.
- What are the limits of PyTorch that you've run into, and how did you work around them?
- What's a project where you used TensorFlow hands-on?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: AI agents, AI Automation, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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