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About the Role
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.
Responsibilities
- 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.
Requirements
- 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.
Skills
- Generative AI
- Large Language Models
- retrieval technologies
- agentic workflows
- Python
- LangGraph
- LangChain
- Semantic Kernel
- CrewAI
- AutoGen
- Azure AI
- OpenAI APIs
- Vertex AI
- workflow orchestration platforms
- fine-tuning
- PEFT
- distributed AI architectures
Location
- global
Work Type
- Hybrid working
Experience Level
- Senior
Education Level
- Relevant degree or equivalent expertise
Salary/Compensations
- 13th month salary
- 8% Holiday payment
Benefits
- 25-28 vacation days depending on contract
- Pension scheme
- Personal growth and challenging work with endless possibilities
- An informal working environment with innovative colleagues
About the Company
- ING's global Analytics organization develops intelligent systems using Generative AI, Large Language Models, retrieval technologies, and agentic workflows for highly regulated financial-services environments.
- Curious about how ING empowers people and businesses to move forward?
- Discover what we do and what we can offer you.