Senior AI engineer
il y a 1 jour
CONTEXTE
Experience : 6 ans et plus
Métiers Fonctions : Etudes & Développement, Développeur
Spécialités technologiques : Reporting, DevsecOps, IA generative
Mission au sein d?un centre d?excellence en IA générative d?un grand groupe international, dédié à la conception et à l?industrialisation de solutions IA à destination de métiers à forte valeur ajoutée.Le consultant intervient sur un assistant IA métier déjà en production connecté au CRM, avec pour objectifs :
- son industrialisation,
- l?extension des cas d?usage,
- la scalabilité et la robustesse de l?architecture.
Environnement structuré en :
- équipes Produits (conception de solutions IA),
- équipes Plateformes (cloud, sécurité, DevSecOps, outillage, observabilité).
MISSIONS
Objectifs de la mission
- Industrialiser une solution d?IA générative existante.
- Concevoir et faire évoluer des agents IA intégrés à des outils métiers.
- Garantir performance, sécurité, conformité et maîtrise des coûts.
- Étendre les usages (nouveaux parcours utilisateurs, nouvelles sources de données).
Responsabilités clés (synthèse)
IA & architecture :
- Concevoir et implémenter des architectures IA générative.
- Développer et faire évoluer des agents IA (copilotes, assistants métier).
- Travailler sur des problématiques LLM / RAG / prompt engineering / orchestration d?agents.
Intégration & SI :
- Intégrer les solutions IA dans un SI existant via APIs et plateformes Microsoft.
- Connecter les agents à différentes sources de données métiers.
Run & industrialisation :
- Mettre en place le monitoring en production.
- Améliorer en continu la qualité des réponses, les performances et les coûts.
- Gérer anomalies et évolutions mineures en production.
Collaboration & delivery :
- Travailler en étroite collaboration avec équipes produit, plateformes et sécurité.
- Fonctionner en mode Agile (Scrum), avec reporting régulier.
- Contribuer à la documentation et au partage de bonnes pratiques.
Expertise souhaitée
Compétences techniques indispensables
- Expérience confirmée en IA générative / agents IA.
- Maîtrise des concepts : LLM, RAG, embeddings, prompt engineering, tool calling.
- Expérience avec des frameworks d?orchestration d?agents (ex. Semantic Kernel ou équivalent).
- Très bonne connaissance de l?écosystème Microsoft Azure :
- Copilot Studio, AI Foundry / Fabric,
- API Management,
- Power Platform, Dataverse,
- Azure Functions.
- Développement : Python (indispensable), C# et JavaScript.
- Sensibilité aux pratiques DevSecOps, monitoring et observabilité.
Certifications (nice to have) :
- Azure AI Engineer (AI-102)
- Azure AI Fundamentals (AI-900)
- Azure Developer (AZ-204)
Soft skills clés :
- Capacité à travailler en environnement structuré et exigeant.
- Bon niveau de communication et esprit collaboratif.
- Rigueur, autonomie, sens du delivery.
Profil candidat:
Compétences
Technologies et Outils
Python Microsoft Azure
Méthodes / Normes
Agile Scrum
Soft skills
AutonomieRigueur
Langues
Anglais (Courant / Professionnel)
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