I

ING

Digital banking and sustainable lending

Solution Architect - WB AI / Data & Analytics

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBucharest, RomaniaNo salary listed

About the Job

Requirements

  • A master's degree in Computer Science, Information Systems, Business Administration, or a related field, or equivalent work experience.
  • At least 3 years of experience as an IT architect, or extensive IT experience as a lead engineer within the AI domain.
  • A proven track record of designing and developing production-grade generative AI solutions in a corporate environment on a major cloud ecosystem, using capabilities such as vector databases, large language models, and retrieval-augmented generation.
  • Proficiency in modeling and modeling languages, including Unified Modeling Language and ArchiMate.
  • A deep understanding of generative AI solutions, including their technical or ethical limitations and strengths.
  • Understanding of MLOps and LLMOps principles, including deployment, monitoring, model lifecycle management, and continuous integration/continuous delivery integration.
  • Ability to convey complex architecture topics to various audiences.
  • Ability to develop strong, collaborative partnerships with organizational leaders from business and technology.
  • Knowledge and experience with IT architecture methodologies, processes such as TOGAF, service management processes, and agile ways of working.

Responsibilities

  • Create solution architectures and technical designs for new initiatives.
  • Guide and support development squads during initiative discovery and subsequent productization.
  • Identify potential synergies and shared components across initiatives.
  • Promote technical standards and guidelines for the area.
  • Review squad deliverables to ensure conformance with technical standards and guidelines.
  • Develop and maintain architectural artifacts, including technical application architectures, architecture decisions, roadmaps, data models, and other relevant documentation.
  • Ensure applications are reliable, available, secure, and resilient.
  • Align with stakeholders across multiple departments and locations, including Europe, Asia, and the United States.

Desired Qualifications

  • Experience with generative AI solutions, including large language model integration patterns, retrieval-augmented generation architectures, agentic workflows, prompt orchestration, model selection, and AI platform capabilities.
  • Experience in a Wholesale Banking environment and familiarity with products and processes that support corporate clients in a highly regulated environment.
  • Experience designing production-grade generative AI solutions using technologies such as large language models, retrieval-augmented generation, vector databases, semantic search, and agentic frameworks.
  • Up-to-date knowledge of architecture trends, data market developments, IT technology, and developments in generative AI.

About the Company

ING

Digital banking and sustainable lending

ING provides digital banking and financial services to individuals and businesses worldwide. Its products and services include online and mobile banking, lending, payments, and advisory services designed to be frictionless so customers can make confident financial decisions. ING differentiates itself by focusing on sustainable choices, responsible lending, and sharing knowledge to help customers and partners realize their visions for a better future. The bank emphasizes empowerment over judgment and aims to finance change, partner with customers, and continuously innovate in a sustainable way. Its goal is to help people and businesses progress toward their goals while reducing barriers and making banking easier and more responsible.

Company size
10,001+
Company stage
IPO
Headquarters
Amsterdam, Netherlands
Founded
1991

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