AI Tech Lead: Enterprise AI Architect & Transformation Leader

Capgemini Invent

Brussel Hoofdstad

Hybride

EUR 60 000 - 80 000

Plein temps

14 jours+
Générateur de candidature

Une candidature sur mesure pour ce poste — un CV et une lettre de motivation personnalisés qui correspondent à l’offre.

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Avantages offerts par ce poste

Company car or mobility budget
Fringe benefits
Personalized mentoring
Flexible working arrangements

Résumé du poste

Capgemini Invent is seeking an AI Tech Lead to shape the future of businesses through innovative AI solutions. The role involves designing scalable data and AI architectures, guiding transformation programmes, and leading technical workstreams. A rich skill set in data science and clear communication with stakeholders are essential, as well as specialization in low-code/no-code platforms.

The position offers a competitive salary package, flexible working arrangements, and opportunities for personal and professional growth within a dynamic team.

Qualifications

  • 4–6 years of experience in a consulting environment.
  • Strong understanding of AI architectures and technologies.
  • Experience in application of AI within business workflows.

Responsabilités

  • Define scalable data and AI architectures.
  • Redesign business processes with Agentic AI.
  • Lead technical workstreams and guide architecture decisions.

Connaissances

Experience in data science, engineering or AI solution design
Understanding of modern data and AI architectures
Experience or interest in process redesign
Familiarity with low-code/no-code platforms
Knowledge of AI concepts and their integration
Strong communication skills
Ownership and adaptability
Fluency in English and Dutch or French

Description du poste

Capgemini Invent is seeking an AI Tech Lead to shape the future of businesses through innovative AI solutions. The role involves designing scalable data and AI architectures, guiding transformation programmes, and leading technical workstreams. A rich skill set in data science and clear communication with stakeholders are essential, as well as specialization in low-code/no-code platforms.

The position offers a competitive salary package, flexible working arrangements, and opportunities for personal and professional growth within a dynamic team.

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