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Deutsche Bank

Finances businesses and manages personal wealth

AI Automation Engineer, VP

AI Application EngineeringUpdated on Nov 12
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 10 years of experience in software engineering, infrastructure engineering, or advanced automation roles, with a significant focus on artificial intelligence and machine learning.
  • Proven experience delivering large-scale automation or transformation initiatives in complex enterprise environments.
  • Advanced programming skills in Python and Bash; SQL is desirable.
  • Experience with Kubernetes and Docker containerization, Infrastructure-as-Code, and continuous integration and continuous delivery.
  • Experience with artificial intelligence and machine learning frameworks, including PyTorch and TensorFlow.
  • Experience with cloud platforms; Google Cloud Platform is preferred.
  • Strong understanding of enterprise infrastructure and operations in Linux/Unix environments.
  • Ability to translate technical solutions into measurable business value, including cost, efficiency, and risk reduction.
  • Ability to leverage artificial intelligence tools to enhance productivity and optimize workflows, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

Responsibilities

  • Lead the design and delivery of AI-driven automation strategy across Linux/Unix compute infrastructure.
  • Identify and prioritize high-impact automation opportunities, including manual effort reduction, cost avoidance, and operational efficiency.
  • Define and implement scalable AI platforms, frameworks, and standards for infrastructure operations.
  • Develop AI-powered solutions for incident detection, prediction, and remediation support; intelligent diagnostics and root cause analysis; automated runbooks and self-healing systems with human approval checkpoints; and agentic AI to generate proposals for changes, draft approval tickets, and provide data-driven insights to operators.
  • Deliver end-to-end AI-enabled solutions at scale, integrated with enterprise tooling and platforms.
  • Ensure solutions align with enterprise architecture, security, and regulatory standards, with emphasis on auditability and control.
  • Partner with global teams in the US, EMEA, and APAC to drive adoption and embed AI and automation into operating models.
  • Act as a technical leader and subject matter expert, mentoring engineers and shaping the engineering direction for AI and automation within Unix Services.
  • Evaluate and drive adoption of advanced AI capabilities, including generative AI, AI agents, and automation platforms, for responsible and effective application within defined constraints.

Desired Qualifications

  • Experience driving AIOps or AI-led transformation programs within large organizations.
  • Familiarity with generative AI and large language model-based automation, particularly agents, copilots, and orchestration frameworks for support and approval workflows.
  • Experience designing and implementing enterprise-scale automation platforms.
  • Relevant certifications in AI/ML or cloud.
  • SQL programming skills.
  • Experience with Google Cloud Platform.

About the Company

Deutsche Bank

Finances businesses and manages personal wealth

Deutsche Bank finances companies, governments and individuals through a global banking network rooted in Germany and spanning major financial markets. Its investment bank focuses on bonds and currencies, alongside advice on mergers and raising capital, while its private bank handles household banking and wealth management. Businesses use its cash management, trade finance and lending services to move money and fund operations, and the group manages investment funds through DWS. It earns money from loan interest, transaction and investment fees, and trading activity. Deutsche Bank traces its founding to 1870 and is headquartered in Frankfurt am Main, Germany.

Company size
10,001+
Company stage
IPO
Headquarters
Frankfurt, Germany
Founded
1870

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