{"id":2019891,"url":"https://alion.io/job/datamed-research-consultant-ia-agentic-ia-generative","title":"Consultant IA Agentic / IA Générative","company":{"id":3908530,"name":"Datamed 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Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false}],"status":"live","first_seen_at":"2026-09-14T15:19:41Z","employer_posted_date":null,"last_verified_at":"2026-09-14T15:19:41Z","board_verified":false,"closed_at":null,"days_open":36,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":36},"description":"Dans le cadre de projets d’innovation et de transformation digitale dans le secteur bancaire, nous recherchons un Consultant IA Agentic / IA Générative capable de concevoir et d’industrialiser des solutions basées sur les LLM, les architectures RAG et les systèmes multi-agents.\nLe consultant interviendra sur l’identification et la mise en œuvre de cas d’usage IA permettant notamment d’automatiser des processus, d'exploiter des données et documents complexes et d'améliorer l'efficacité opérationnelle des équipes métiers.\nMissions principales\nIdentifier et cadrer des cas d’usage d’IA Générative et Agentic AI avec les équipes métiers.\n\nConcevoir des assistants intelligents et des systèmes conversationnels.\n\nConcevoir et développer des architectures RAG (Retrieval-Augmented Generation).\n\nDévelopper des agents IA autonomes capables de raisonner, rechercher des informations et exécuter des actions.\n\nConcevoir et orchestrer des workflows multi-agents.\n\nIntégrer différents modèles de langage : OpenAI, Azure OpenAI, Gemini ou modèles open source.\n\nDévelopper les mécanismes de connexion entre les agents IA, les API, les bases de données et les outils internes.\n\nMettre en place des mécanismes d’évaluation, de monitoring et de sécurisation des solutions IA.\n\nIndustrialiser les solutions sous forme d’API et de services Cloud.\n\nParticiper aux pratiques LLMOps / MLOps.\n\nPrendre en compte les contraintes de sécurité, confidentialité, gouvernance et conformité liées au secteur bancaire.\n\nAccompagner les équipes métiers dans l’adoption des solutions IA.\n\nProfil recherché\nSolide expérience en IA Générative / LLM.\n\nMaîtrise des architectures RAG.\n\nExpérience significative en Agentic AI et systèmes multi-agents.\n\nTrès bonne maîtrise de Python.\n\nExpérience avec des frameworks d’orchestration d’agents et de LLM.\n\nMaîtrise des API REST et architectures Cloud.\n\nConnaissance des bases vectorielles et techniques d’Embedding.\n\nExpérience en MLOps / LLMOps.\n\nCapacité à travailler avec des interlocuteurs techniques et métiers.\n\nUne expérience dans le secteur bancaire ou financier constitue un réel avantage.\n\nEnvironnement technique\nPython, LLM, RAG, Agentic AI, Multi-Agent Systems, LangChain, LangGraph, OpenAI/Azure OpenAI, Gemini, modèles Open Source, Vector Databases, API REST, Docker, Kubernetes, Cloud, Git, CI/CD, MLOps, LLMOps.","description_format":"text","description_chars":2344,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-07T13:04:23Z"}],"visa":[],"liveness":{"score":18,"band":"cold","label":"Long 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