{"id":2022299,"url":"https://alion.io/job/accenture-knowledge-engineering-manager-2","title":"Knowledge Engineering Manager","company":{"id":2195193,"name":"Accenture France","domain":"accenture.fr","url":"https://alion.io/company/accenture-fr","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":60000,"max_usd":113000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":60},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Neptune","optional":false},{"name":"Apache NiFi","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Neo4j","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-29T10:00:15Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-21T18:38:25Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"Rejoignez Accenture, une entreprise mondiale de services professionnels. En tant que Knowledge Engineering Manager, vous dirigerez une équipe et serez responsable de la mise en œuvre de solutions de graphes de connaissances, de l'IA et de l'architecture de données. Vous travaillerez en étroite collaboration avec les équipes métiers et techniques pour assurer la livraison de bout en bout.\nMissions\nDiriger la mise en œuvre de solutions de Graphes de Connaissances et piloter la conception, le développement et la mise en œuvre de solutions d’IA.\nCollaborer avec les responsables de projet et les parties prenantes du client pour créer des offres Data & IA innovantes basées sur les graphes.\nApporter un leadership d’opinion sur les tendances technologiques, les nouvelles opportunités, les innovations ainsi que les limitations, risques et problématiques prévisibles.\nProfil recherché\nFORMATION\nLicence (Bachelor) ou diplôme équivalent\nQUALIFICATIONS DE BASE (OBLIGATOIRES)\nLicence (Bachelor) ou diplôme équivalent, ainsi qu’au moins 4 des éléments suivants :\nExpérience des technologies de Graphes de Connaissances (RDF, SPARQL, LPG, SHACL)\nExpérience pratique de la conception de schémas, de la gestion d’ontologies et de la curation de Graphes de Connaissances\nCapacité démontrée à concevoir et développer des solutions de Graphes de Connaissances et des modèles de Machine Learning basés sur les graphes (fonctionnel et technique)\nExpérience dans la mise en œuvre de pipelines de données de bout en bout pour des applications d’IA (notamment les LLM), avec une expérience pratique de la conception et de la configuration\nSolides connaissances et expérience des bases de données relationnelles, des stockages d’objets, des bases de données orientées graphes (Stardog, Neo4J, Amazon Neptune) et des bases de données vectorielles\nExpérience dans la direction d’une équipe ou d’un domaine de travail au sein d’un programme plus vaste\nQUALIFICATIONS PRÉFÉRÉES\nExpérience pratique des plateformes cloud (AWS, Azure, GCP)\nExpérience en Python, ainsi qu’avec des frameworks tels que TensorFlow, PyTorch et des outils de création de pipelines ETL (par exemple Apache NiFi, Airflow)\nExpérience pratique du traitement automatique du langage naturel (NLP) et/ou des techniques de recherche\nPrompt engineering et utilisation des LLM pour des applications à l’échelle de l’entreprise\nVous possédez une expérience en management d’équipe\nExcellentes compétences en collaboration, avec la capacité de travailler avec des équipes d’ingénierie, de recherche et produit réparties sur plusieurs fuseaux horaires\nVous disposez d’une expérience de conseil auprès de clients externes\nDoctorat (Ph.D.) en informatique, en génie informatique ou électrique, en mathématiques ou dans un domaine connexe\nLarge expérience de diverses techniques de Machine Learning et des systèmes agentiques.","description_format":"text","description_chars":2868,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"French","level":"Advanced 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