Senior AI Engineer -Innovation

Senior AI Engineer – Innovation (Rabobank Utrecht)

Role overview

Shape the future of AI in banking by turning ambitious ideas into working solutions that create real value for clients and colleagues. As a Senior AI Engineer you will design, build and validate AI applications within a regulated banking environment, collaborating with data scientists and business stakeholders to operationalise AI models and ensure compliance with organisational standards.

What you will do

• Build prototypes and proof-of-concepts for GenAI use cases, from RAG pipelines to agent architectures.
• Configure and optimize LLM workflows, vector databases, and retrieval systems in Databricks and Azure.
• Develop evaluation suites to measure solution quality, including prompt testing and output validation.
• Assess technical feasibility of proposed AI solutions and advise on realistic approaches.
• Facilitate the technical side of prompting workshops with business subject matter experts.
• Integrate GenAI components with existing data infrastructure and enterprise systems.
• Mentor engineers and help them develop AI engineering skills.
• Contribute to technical vision and knowledge sharing within the team.

Example first-month activities

• Help set up an experiment for a use case within the secure platform, including configuring RAG pipelines in Databricks, running prompting workshops, and building an evaluation suite.
• Support other engineers to skill up in AI engineering practices and prototype planning.

Required

• 5+ years in a technical role (DevOps, software engineering, ML or data science).
• Proven experience developing LLM-based applications, including prompt engineering and evaluation.
• Strong hands‑on expertise in Python, SQL, API development and modern AI/ML tooling.
• Experience with Databricks or similar data platforms.
• Experience with Azure AI services (Azure OpenAI, AI Search, Document Intelligence).
• Understanding of vector databases and RAG patterns for retrieval-augmented generation.
• Security and observability awareness for monitoring, compliance and reliability in AI systems.
• Strong communication skills in English; Dutch is a plus.
• Comfort with ambiguity, iterative problem-solving, and changing priorities.
• Location requirement: You must be located in the Netherlands.

Valuable additions

• Track record of working directly with non-technical stakeholders to gather requirements and align on solutions.
• Knowledge of agentic frameworks, RAG architectures, or multi-agent orchestration.
• Background in financial services or other regulated industries.

How to apply

Application materials: CV and a cover letter (max 1 page) containing a Statement of Exceptional Work. In the cover letter describe one of your most impactful projects (ideally involving GenAI or LLM development) addressing:

• Your role and the solution you translated from a business challenge into a prototype; what problem were you solving?
• The hardest technical and/or organizational challenge you faced and how you addressed it.
• The impact of your work/prototype (measurable outcomes, validated hypotheses or lessons learned) and what you would do differently next time.

Practical information

• Working model: Hybrid — office days every Monday and Wednesday in Utrecht.
• Language: English mandatory.
• Travel: Travel may be required (potential future travel to Australia).
• Contract type: This assignment is not suitable for self-employed professionals / ZZP.
• Pre-employment: Successful candidates will undergo pre-employment screening and must have valid ID or passport available at interview/start.

Eisen

• Language: English mandatory
• Start: as soon as possible
• End: 31-12-2026
• Strong communication skills in English (in word and writing)
• Hybrid working: every Monday and Wednesday officedays in Utrecht
• To be considered for this position you must be located in the Netherlands
  and submit a cover letter with specific instruction as indicated under “to
  apply”
• 5+ years in technical role (DevOps, software engineering, ML or data
  science)
• Proven experience in developing LLM-based applications, including prompt
  engineering and evaluation
• Strong hands-on expertise in Python, SQL, API development and modern AI/ML
  tooling
• Experience with Databricks or similar data platforms
• Experience with Azure AI services (Azure OpenAI, AI Search, Document
  Intelligence)
• Understanding of vector databases and RAG patterns for retrieval-augmented
  generation
• Security and observability awareness: best practices for monitoring,
  compliance, and reliability in AI systems
• Strong communication skills in English; Dutch is a plus
• To be considered for this position you must be located in the Netherlands
  and submit a cover letter with specific instruction as indicated under “to
  apply”
• Suppliers can offer just one candidate for this position. Multiple
  candidates per supplier are not allowed, all candidates will be rejected
• Candidate should be submitted exclusively to Magnit – Rabobank during the
  exclusivity period of 4 business days on one request
• Furthermore, the candidate has to be available throughout the entire
  duration of the assignment
• All submitted candidates must be in possession of a valid Passport or ID
  card, which must be taken along to the interview and at the start of the
  assignment
• Pre-employment screening: If the candidate is selected to start, a
  pre-employment screening will be executed. We will send you the required
  documents to be filled in and returned as soon as possible. Your candidate
  is only allowed to start after the pre-employment screening has been
  completed successfully

Wensen

• To be considered for this position you must be located in the Netherlands
  and submit a cover letter with specific instruction as indicated under “to
  apply”
• Dutch is a plus
• Track record of working directly with non-technical stakeholders to gather
  requirements and align on solutions
• Knowledge of agentic frameworks, RAG architectures, or multi-agent
  orchestration
• Background in financial services or other regulated industries
• Relevant degree helps, but practical experience building and shipping AI
  solutions matters more

Vul je gegevens hieronder in, dan nemen we binnen 2 uur contact met je op om samen te kijken of er een match is. Heb je nog vragen? Bel ons op 030-249 66 96 of stuur een e-mail naar info@greenpepper.nl We helpen je graag verder!