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Deutsche Bank

Senior AI Engineer (f/m/x)

Deutsche Bank is hiring a Senior AI Engineer (f/m/x) in Bucharest, Romania. Level rates it ; you can apply on Deutsche Bank.

Level's read on this job

  • Level rates this AI engineer role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include PyTorch, TensorFlow and JAX.
  • Level classifies it as a senior role.
  • Level lists 1,100+ other open roles at Deutsche Bank.

AI in this role

Lead the design and implementation of cutting-edge AI solutions including agentic workflows, multi-agent collaboration, and A2A systems.

PyTorchTensorFlowJAXPythonGoogle Cloud
ai-agentsai-architectureagentic-workflowsmulti-agent-systemsmachine-learning

Job Description:

DB Global Technology is Deutsche Bank’s technology centre in Central and Eastern Europe. Since its set-up in 2013, Bucharest Technology Centre (BEX) has constantly proven its capacity to deliver global technology products and services, playing a dynamic role in the Bank’s technology transformation.

We have a robust, hands-on engineering culture dedicated to continuous learning, knowledge-sharing, technical skill development and networking. We are an essential part of the Bank’s technology platform and develop applications for many important business areas.

As a Principal AI Engineer, you will lead the design and implementation of cutting-edge AI solutions, including agentic workflows, multi-agent collaboration (MCP), and AI-to-AI (A2A) systems. Your work will drive innovation and automation, ensuring our AI systems are scalable, efficient, and aligned with the latest advancements in AI. This role is ideal for a technical expert who thrives in a collaborative environment and is passionate about pushing the boundaries of AI.

Responsibilities

• AI Architecture & Development: Design and deploy agentic workflows and MCP systems to automate and optimize complex processes.
• A2A Systems: Develop frameworks for AI-to-AI interaction, enabling seamless collaboration between AI systems.
• Innovation & Research: Lead R&D in explainable AI, federated learning, and privacy-preserving techniques to enhance model performance and trust.
• Collaboration: Partner with cross-functional teams to integrate AI solutions into core platforms and workflows.
• Mentorship: Guide and mentor junior AI engineers, fostering a culture of technical excellence and innovation.
• Ethical AI: Ensure AI models and workflows adhere to ethical standards and best practices.

Skills

• Significant hands-on AI/ML engineering experience, with a focus on autonomous systems, agentic workflows, or multi-agent collaboration.
• Agentic & MCP Expertise: Proven experience in designing autonomous AI agents, multi-agent systems, or A2A collaboration frameworks.
• Technical Mastery: Proficiency in Python, PyTorch/TensorFlow, JAX, and cloud platforms (GCP or Others).
• Innovation Mindset: Track record of pioneering AI solutions, contributing to open-source projects, or publishing research.
• Collaboration & Mentorship: Ability to work effectively with cross-functional teams and mentor junior engineers.
• Bonus: Contributions to open-source AI projects, patents, or publications in AI/ML.

Well-being & Benefits

Emotionally and mentally balanced: We support you in dealing with life crises, maintaining stability through illness, and maintaining good mental health.

  • Empowering managers who value your ideas and decisions. Show your positive attitude, determination, and open-mindedness.
  • A professional, passionate, and fun workplace.
  • A modern office with fun and relaxing areas to boost creativity.
  • Continuous learning culture with coaching and support from team experts.
  • A culture where you can openly speak about mental health.

Physically thriving: We support you in managing your physical health by taking appropriate preventive measures and providing a workplace that helps you thrive. For example, Private healthcare and life insurance with premium benefits for you and discounts for your loved ones, healthier ways of working and check-ups.

Socially connected: We strongly believe in collaboration, inclusion and feeling connected to open up new perspectives and strengthen our self-confidence and well-being.

  • 24 days holiday, loyalty days, and bank holidays (including weekdays for weekend bank holidays).
  • Hybrid working model with 40% remote work.
  • Options for flexible working hours.
  • Enjoy retailer discounts, cultural and CSR activities, workshops, and more.

Financially secure: We support you in meeting personal financial goals during your active career and for the future.

  • Competitive income, performance-based promotions, and a sense of purpose.
  • Meal vouchers, bonuses for referrals

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

Senior AI Engineer (f/m/x) at Deutsche Bank rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

AI agentsAI ArchitectureAgentic WorkflowsMulti Agent SystemsMachine learningPyTorchTensorFlowJAX

Also common in AI engineer jobs at this level

Pay

Typical AI engineer job
$184k

This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where ai architecture was part of your work. What did you do?
  3. Tell me about a project where agentic workflows was part of your work. What did you do?
  4. Tell me about a project where multi agent systems was part of your work. What did you do?
  5. Tell me about a project where machine learning was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, AI Architecture, Agentic Workflows, Multi Agent Systems, and Machine learning. 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.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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