AI Stack Investment Analyst — Europe AI & Infra

European Investment Bank (EIB)

Województwo mazowieckie

On-site

PLN 308,000 - 483,000

Full time

3 days ago
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Benefits offered by this job

Relocation support
International work environment

Job summary

The European Investment Bank (EIB) invites applications for an Associate Sector Specialist - AI Stack, based at its Luxembourg headquarters with regular office presence. The role supports due diligence, market and policy analysis across the full AI stack and coordinates with INCO, DTMI, and DIGIINFRA to advance AI and digital infrastructure initiatives.

You will contribute to technical and economic viability assessments, prepare inputs for MDB collaboration, and help build cross-division

Qualifications

  • University degree, minimum Bachelor equivalent.
  • At least 3 years of professional experience related to AI stack activities, digital technologies or related analysis.
  • Strong English and French language skills, with good command of the other.

Responsibilities

  • Contribute to assessment of technical and economic viability of AI stack investment projects.
  • Support coordination with multilateral development banks and knowledge repositories.
  • Prepare for joint MDB work on AI linked to MDB chairmanship.
  • Conduct background analysis on AI, digital infrastructure, and policy developments.
  • Contribute inputs to strategic initiatives (AI Gigafactories, Quantum Grand Challenge, sovereignty cloud).

Skills

Analytical skills
Coordination
AI stack knowledge
English and French

Education

Bachelor's degree

Tools

PowerPoint
Excel

Job description

The European Investment Bank (EIB) invites applications for an Associate Sector Specialist - AI Stack, based at its Luxembourg headquarters with regular office presence. The role supports due diligence, market and policy analysis across the full AI stack and coordinates with INCO, DTMI, and DIGIINFRA to advance AI and digital infrastructure initiatives.

You will contribute to technical and economic viability assessments, prepare inputs for MDB collaboration, and help build cross-division

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