Lead IA Engineer F/H

CGI • French: C1 • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • 1 day ago
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Salary
≈ $59k – $120k per year (Estimated)
Location
Hybrid (Paris, France)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 13, 2026.

Overview
Company
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Profile match

CGI

CGI is a Canadian IT and business consulting services firm headquartered in Montreal, Quebec, offering strategic consulting, systems integration, managed IT and application services and its own software products. Founded in 1976 and listed on the Toronto and New York stock exchanges, it employs about 94,000 consultants and professionals worldwide, with large operations in France, Canada, the United States through CGI Federal, the UK and India. Its openings include generative AI developers and tech leads, Java and Angular developers, business analysts, geomatics developers, cloud engineers with security clearance and graduate programmes.
cgi.com • HQ: Montreal, Canada • Management Consulting • IT Outsourcing & Dedicated Teams • Systems Integrators • IT Consulting & Digital Transformation • 5000+ employees • Est. 1976
Tech stack of CGI

Rejoignez CGI, l'une des plus grandes entreprises de conseil en technologie de l'information et en management au monde. En tant que Tech Lead IA, vous serez responsable de la conception, de l'industrialisation et de la gouvernance des solutions d'IA au sein de l'entreprise. Vous travaillerez sur des projets de transformation dans les secteurs de l'énergie, des médias et des télécommunications. Vous bénéficierez d'une offre complète de formations, de flexibilité grâce à notre accord de télétravail, d'une politique de congés avantageuse et d'un package d'avantages attractif.

Missions

  • Définir et piloter la stratégie IA en lien avec les enjeux métiers, data et technologiques.
  • Concevoir et superviser des solutions basées sur l'IA générative, le machine learning et les systèmes multi-agents.
  • Encadrer techniquement les équipes IA, Data et Software, en garantissant les bonnes pratiques de développement et d'industrialisation.
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