AI Adoption Manager
Deutsche Bank is hiring an AI Adoption Manager in Dublin, Ireland. Level rates it ; you can apply on Level.
AI in this role
Job Description:
Job Title AI Adoption Manager
Location Dublin
Corporate Title Vice President
Deutsche Bank’s Innovation team identifies, evaluates, and incubates cutting-edge technical innovation. It is part of the Chief Strategy Office of the bank’s Technology, Data & Innovation (TDI) function and works globally with all business lines and infrastructure functions of the bank. A focus of the team is to create value for clients and the bank using Artificial Intelligence, Large Language Models (LLM), Agentic AI and other advanced data-driven technologies.
You will work with AI Developers and Users across Deutsche Bank to design and deliver scalable, resilient AI solutions from concept to production. This role sits at the intersection of engineering excellence and rapid experimentation, helping turn high-impact ideas into robust capabilities that can be adopted at scale.
What we’ll offer you
A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its centre.
You can expect:
- Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them
- Competitive salary and non-contributory pension
- 30 days’ holiday plus bank holidays, with the option to purchase additional days
- Life Assurance and Private Healthcare for you and your family
- A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits
- The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year
Your key responsibilities
- Working with AI developers and users across Deutsche Bank to accelerate design, and deliver high-quality software products that use AI and other advanced data-driven technologies to create sustainable value for the Bank. Helping ensure solutions are scalable, secure and production-ready
- Providing hands-on technical support, establishing engineering standards. Staying close to critical system components and assist in the resolution of complex technical challenges
- Working with our AI colleagues across Deutsche Bank to ensure the successful technical delivery of innovation initiatives through to production
- Working in a cross-functional team across engineering, product, design and infrastructure teams to identify, evaluate and execute high impact AI use-cases
- Helping shape and evolve AI architecture and best practices with our innovation team and bank-wide developer community, contributing reusable frameworks, integration patterns, and deployment standards that accelerate future innovations
- Communicating technical concepts and results effectively to both technical and non-technical audiences, and measure success by the business value the solutions generate across our AI Platform
Your skills and experience
- University degree in a technical or quantitative field (e.g., computer science, mathematics, physics, economics, etc.), preferably a Master’s or Doctoral degree or work equivalent
- Experience in applying AI, machine learning and/or data science in business and/or academia
- Experience designing and delivering production-grade AI and software products in enterprise environments
- Strong knowledge of Python and ideally one other programming language, as well as relevant data science or engineering frameworks (e.g., scikit-learn, TensorFlow, Spark, LangChain etc.). Knowledge of GCP or another major cloud platform. Experience building solutions that leverage LLMs. Familiarity with agentic AI frameworks and orchestration patterns (E.g. Google ADK, LangGraph, MCP) is considered an advantage
- Knowledge of ML Ops spanning ML, data engineering, cloud platforms, CI/CD, model deployment, monitoring, and AI governance to reliably operate ML solutions at scale
- 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
We value diversity and as an equal opportunities’ employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards)
About us
Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do.
Deutsche Bank in the UK is proud to be named in The Times Top 50 Employers for Gender Equality and has been awarded a Gold Award from Stonewall and named in their Top 100 Employers.
If you have a disability, health condition, or require any adjustments during the application process, we encourage you to contact our Adjustments Concierge on adjustmentsconcierge@db.com to discuss.
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 Adoption Manager at Deutsche Bank rates 42 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● 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. Open the description and count.
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 monitor a model once it's live, and how do you know it needs retraining?
- Walk me through how you've used LangChain in your day-to-day work.
- What are the limits of LangGraph that you've run into, and how did you work around them?
- What's a project where you used TensorFlow hands-on?
- Walk me through how you've used scikit-learn in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: ML Ops, LangChain, LangGraph, TensorFlow, and scikit-learn. 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.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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