Original posting date was 8/9/2026
The team
You will join ING's global Analytics organization, working with Product Leads, Engineers, Data Scientists, and business stakeholders across countries and domains. The team develops intelligent systems using Generative AI, Large Language Models, retrieval technologies, and agentic workflows for highly regulated financial-services environments.
This is a hands-on individual-contributor role for an experienced Data Scientist who wants to broaden their technical influence. You will help teams make sound architectural choices, establish reusable practices, share knowledge, and turn promising ideas into solutions that create measurable business value.
Roles and responsibilities
As a Senior AI/LLM Data Scientist in Agentic AI, you will:
Design, build, and deploy AI agents and intelligent workflows powered by Large Language Models.
Develop multi-agent solutions that interact with tools, APIs, databases, workflows, and business applications.
Create Retrieval-Augmented Generation architectures using vector databases, embeddings, and retrieval-based patterns.
Build context-aware AI solutions that combine business data, enterprise systems, and Large Language Models.
Define technical standards, guide architectural decisions, and contribute to reusable Agentic AI practices across ING.
Establish evaluation, monitoring, governance, reliability, and model-optimization approaches for production AI solutions.
Collaborate across disciplines and countries, while mentoring Data Scientists and promoting knowledge sharing.
How to succeed
We hire smart people like you for your potential. Our biggest expectation is that you'll stay curious. Keep learning. Take on responsibility.
To be successful in this role, you bring:
At least five years of experience in Data Science, Machine Learning, NLP, Generative AI, or a related discipline, supported by a relevant degree or equivalent expertise.
A track record of building and deploying production-grade AI applications, with strong Python skills and production-ready software-engineering practices.
Hands-on experience with LLM, Generative AI, NLP, or Agentic AI solutions, including modern prompting, evaluation, and model-optimization approaches.
Practical experience designing RAG systems using vector databases, embeddings, and retrieval-based architectures.
Experience integrating AI systems with APIs, tools, databases, workflows, and enterprise platforms.
Clear communication and strong collaboration skills, including the ability to mentor and coach Data Scientists and foster knowledge sharing.
An advantage: experience with LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, Azure AI, OpenAI APIs, Vertex AI, workflow orchestration platforms, fine-tuning, PEFT, or distributed AI architectures.
We value leadership impact and adaptability as much as strict checklist experience. If your background aligns with the core vision of this role, even if you don't tick every single bullet point, we strongly encourage you to apply. Tell us in your application or cover note what unique perspective and track record you'll bring to the team.
Rewards and benefits
We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions.
The benefits of working with us at ING include:
25-28 vacation days depending on contract
Pension scheme
13th month salary
8% Holiday payment
Hybrid working
Personal growth and challenging work with endless possibilities
An informal working environment with innovative colleagues
About us
Curious about how ING empowers people and businesses to move forward?
Discover what we do and what we can offer you.
Questions?
Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.
Skills Required
- At least five years of experience in Data Science, Machine Learning, NLP, Generative AI, or a related discipline
- Relevant degree or equivalent expertise
- Track record of building and deploying production-grade AI applications
- Strong Python skills and production-ready software-engineering practices
- Hands-on experience with LLM, Generative AI, NLP, or Agentic AI solutions
- Experience with modern prompting, evaluation, and model-optimization approaches
- Practical experience designing RAG systems using vector databases, embeddings, and retrieval-based architectures
- Experience integrating AI systems with APIs, tools, databases, workflows, and enterprise platforms
- Clear communication and strong collaboration skills
- Ability to mentor and coach Data Scientists and foster knowledge sharing
- Experience with LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, Azure AI, OpenAI APIs, Vertex AI, workflow orchestration platforms, fine-tuning, PEFT, or distributed AI architectures
What We Do
ING is a pioneer in digital banking and on the forefront as one of the most innovative banks in the world. As ING, we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realise their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers
