This role was originally published on 28 May 2026.
Think Forward! Our goal is to help people advance in life and business. We are a well-established brand with strong financials, global reach, and omni-channel strategies. If you value innovation, agile principles balanced with compliance and quality, reliable service, and a practical work approach, this is the place for you.
WithinWholesale Banking Advanced Analytics (WBAA), theDiscoveryteam is a fast-paced group that partners with different areas of ING’s Wholesale Bank to explore, shape andvalidateAIopportunities.
Goalis to define,validateand prioritize the most impactful AI opportunities for WB, making the most efficient use of our limited resources. During the idea gathering we check on business impact, re-use,scalabilityandstrategic fit. The ideas withhighestpotential and priority will move to an AI discovery phase, where they will be evaluated for desirability, viability, and feasibility.
We help stakeholders clarify problems, assess data and technical feasibility, and create rapid prototypes thatdemonstratebusiness value. Successful initiatives are then prepared forbuildand enable ING’s Wholesale Bankingteams.
As anML/AI EngineerinWBAA Discovery, you turn ambiguous business questions intofeasibleanalytics solutions. You work end-to-end: from problem framing with stakeholders, to data exploration and feasibility assessments, to rapidproofs of conceptand prototypes, and finally to clear recommendations and handover packages for build teams.
You thrive in a start-up mindset: short feedback loops, iterative delivery, and making pragmatic trade-offs while staying aligned with banking standards (risk, privacy,securityand model governance). Success in this role depends on strongstakeholder management, clear communication, and comfort with uncertainty,ambiguity,often working with incomplete requirements and evolving priorities.
Do you recognize yourself in this profile:
Demonstratedexpertisein AI integration, including working with large language models (LLMs) such as Gemini and Claude, implementing retrieval-augmented generation (RAG) patterns,designingand evaluating prompts, andutilizingvector databases.
Data engineering skills: building scalable data pipelines andoptimisingdata processing (e.g.,Spark,Airflow, partitioning, incremental loads, performance tuning).
Experience designing and deploying cloud solutions,including CI/CD,containerisation(e.g., Docker)and infrastructure-as-code (e.g., Terraform).
Experience with production-minded development (testing, monitoring/observability, reliability), even when starting from early-stage prototypes.
Nice to have (but Not Required):Even if youdon'tmeet every requirement, we encourage you to apply. Experience in these areas is a bonus:
Familiarity with agentic frameworks (ADK,LangChain,LangGraph,CrewAI) and multi-agent design patternsis a plus.
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.(opens in new window) (opens in new window)
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(opens in new window) (opens in new window).
Questions?
Please visit ourFrequently Asked Questions(opens in new window) (opens in new window)section to find some answers on questions you might have.
Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter .
