AML AI Specialist

Next-Link; Brussel Hoofdstad; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Next-Link in Brussels area, Belgium, is seeking an AML AI Specialist to help identify and implement practical AI enhancements within the Anti-Money Laundering domain. The role focuses on quick wins, rapid prototyping, and close collaboration with AML analysts.

You will develop AI agents and copilots, ensure alignment with KYC/KYT and sanctions checks, and deliver measurable efficiency gains while maintaining regulatory compliance.

Qualifications

• Minimum 3 years of AML experience.
• Strong knowledge of KYC, KYT and Due Diligence processes.
• Experience using or building AI assistants, AI agents or GenAI solutions.
• Ability to independently build prototypes and working solutions.
• Comfortable working directly with business users.

Responsabilités

• Identify Quick Wins with analysts to understand where effort is spent.
• Build Practical AI Solutions by configuring and prototyping AI agents or copilots.
• Support AML Operations by applying KYC/KYT/PEP and sanctions knowledge.
• Measure Value by tracking time savings and presenting ROI.

Connaissances

AML operations

KYC

KYT

GenAI

AI prototyping

Stakeholder collaboration

Outils

AI agents

Prompt-based assistants

Description du poste

Bruxelles, Belgium | Posted on 09/22/2026

• Job Posting ID ZR_4450_JOB

What is the mission about?

-

Job Description

NextLink is having an existingposition as a AML AI Specialist in Brussels area, Belgium.

General information:

- Work location: Brussels area, Belgium

The ABW teamis operational Anti-Money Laundering function, responsible for performingcustomer due diligence, enhanced due diligence, transaction-relatedinvestigations and other regulatory analyses required to manage financial crimerisks. The team operates in a highly regulated environment where quality,consistency, traceability and timely processing are essential. Alongside itsday-to-day activities, ABW is continuously seeking practical improvements thatreduce manual effort, increase operational efficiency and support analysts inhandling a growing volume and complexity of cases.

As part of this ambition, the team is exploring the use of AI-assisted tools and agents tosupport activities such as information gathering, case preparation, documentanalysis and quality checks while maintaining full human oversight andregulatory compliance

ABW is lookingfor a hands-on AML professional with practical AI experience to help identifyand implement a limited number of high-impact efficiency improvements withinAML operations.

The objectiveis not to launch a large transformation programme, but to rapidly test, buildand deploy practical solutions that reduce manual effort for analysts whilemaintaining quality, consistency and traceability.

Work directly with AML analysts and team leads to identify repetitive, manual or time-consuming activities and develop practical AI solutions that simplify daily work.

Typical examples include:

• Quality and completeness checks
• Knowledge retrieval from procedures and guidelines

The emphasis is on quickimplementation and measurable efficiency gains.

Key Responsibilities

• Identify Quick Wins
  • Spend time with analysts to understand where effort is spent.
  • Identify repetitive activities suitable for AI support.
  • Prioritise opportunities based on impact and ease of implementation.
  • Maintain a practical backlog of improvement ideas.
• Build Practical AI Solutions
  • Configure and build AI agents,copilots or prompt-based assistants.
  • Develop simple prototypes and pilot solutions.
  • Test solutions with end users.
  • Iterate quickly based on feedback.
• Support AML Operations
  • Apply knowledge of:
    • KYC
    • KYT
    • PEP and sanctions screening
    • Source of Funds and Source of Wealth investigations
  • Ensure solutions support existingAML controls and ways of working.
• Measure Value
  • Track time savings and operational benefits.
  • Present recommendations for future opportunities.

Profile

• Minimum 3 years of experience
• Experience in AML operations, compliance or financial crime.
• Strong understanding of KYC, KYT and Due Diligence processes.
• Experience using or building AI assistants, AI agents or GenAI solutions.
• Ability to independently build prototypes and working solutions
• Comfortable working directly with business users.
• Pragmatic and delivery-oriented.
• Curious and hands-on.
• Able to explain AI concepts in simple language.
• Focused on practical results rather than theoretical discussions.
• Comfortable working in an agile and experimental environment