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# Architecte Technique Gcp H/F

- **Company:** Lehibou
- **Location:** Saint-Ouen-sur-Seine, France (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Cloud Computing, Cloud Storage, Continuous Integration, Github, Identity and Access Management, Python (Programming Language), OAuth, Open Data Protocol, Performance Tuning, SuccessFactors, Zero Trust Network Access, Security Assertion Markup Language (SAML), Data Streaming, Systems Integration, WebKit, Google Cloud, Cloud Platform System, Generative AI, Build Server, Git, Fastapi, Containerization, Restful APIs, Webhooks, GPT, Docker
- **Published:** August 4, 2026
- **Apply:** https://www.hellowork.com/fr-fr/emplois/81995340.html

## About the Role

Nous recherchons un profilConfirmé à Senior(idéalement avec une expérience significative en développement, data ou IA, incluant des projets concrets en GenAI/architectures agentiques, ou un profil très solide avec environ 3 ans d'expérience).

Compétences techniques requises :

 - IA & Frameworks agentiques :Maîtrise de Google ADK, LangChain ou LangGraph ; expertise en conception d'architectures multi-agents et protocoles MCP.
 - Développement :Expertise en Python (async, tests, packaging) ; maîtrise de FastAPI, LlamaIndex, APIs REST/OData, webhooks et streaming.
 - Cloud & Infrastructure (GCP) :Vertex AI, Cloud Run, GKE, Pub/Sub, BigQuery, Cloud Storage, Docker et CI/CD (GitHub Actions/Cloud Build).
 - Sécurité :Maîtrise des protocoles OAuth 2.0/OIDC, SAML 2.0, gestion des secrets et environnements Zero Trust.

Compétences / Qualités indispensables :

Python (async, tests, packaging), Frameworks GenAI & Agentiques : Google ADK, LangChain, LangGraph, LlamaIndex, Architecture multi-agents (MCP, routing, tool calling, mémoire), Développement d'APIs : FastAPI, REST/OData, webhooks, streaming, Google Cloud Platform (GCP) : Vertex AI, Cloud Run, GKE, Pub/Sub, BigQuery, Cloud Storage, Conteneurisation & CI/CD : Docker, GitHub Actions, Cloud Build, Sécurité & IAM : OAuth 2.0, OIDC, SAML 2.0, gestion des secrets, Zero Trust, Intégration de systèmes (SuccessFactors, Microsoft Teams, APIs), Optimisation des performances (latence, temps de réponse, industrialisation des applications GenAI), Anglais pro, Profil recherchéPython (async, tests, packaging)Frameworks GenAI & Agentiques : Google ADK, LangChain, LangGraph, LlamaIndexArchitecture multi-agents (MCP, routing, tool calling, mémoire)Développement d'APIs : FastAPI, REST/OData, webhooks, streamingGoogle Cloud Platform (GCP) : Vertex AI, Cloud Run, GKE, Pub/Sub, BigQuery, Cloud StorageConteneurisation & CI/CD : Docker, GitHub Actions, Cloud BuildSécurité & IAM : OAuth 2.0, OIDC, SAML 2.0, gestion des secrets, Zero TrustIntégration de systèmes (SuccessFactors, Microsoft Teams, APIs)Optimisation des performances (latence, temps de réponse, industrialisation des applications GenAI)Anglais pro

Mais aussi...

Taux journalier :625€ / jour.css-11k7fwb{display:inline-block;white-space:nowrap;vertical-align:middle;-webkit-padding-start:var(--chakra-space-1-5);padding-inline-start:var(--chakra-space-1-5);-webkit-padding-end:var(--chakra-space-1-5);padding-inline-end:var(--chakra-space-1-5);text-transform:none;font-size:var(--chakra-fontSizes-xs);border-radius:var(--chakra-radii-md);font-weight:var(--chakra-fontWeights-semibold);background:var(--chakra-colors-success-200);color:var(--chakra-colors-success-700);box-shadow:var(--badge-shadow);padding:4px 6px;--badge-bg:var(--chakra-colors-success-100);--badge-color:colors.success.800;}.chakra-ui-dark .css-11k7fwb:not([data-theme]),[data-theme=dark] .css-11k7fwb:not([data-theme]),.css-11k7fwb[data-theme=dark]{--badge-bg:rgba(226, 243, 232, 0.16);--badge-color:var(--chakra-colors-success-200);}Cette offre est à 0% de commission .css-74lrwu{width:1em;height:1em;line-height:1em;-webkit-flex-shrink:0;-ms-flex-negative:0;flex-shrink:0;color:currentColor;font-size:16px;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-transition:.1s ease-in-out color;transition:.1s ease-in-out color;}.css-74lrwu *{-webkit-transition:.1s ease-in-out fill;transition:.1s ease-in-out fill;fill:var(--chakra-colors-rythm-600);}, * Python (async, tests, packaging)

 * Frameworks GenAI & Agentiques : Google ADK, LangChain, LangGraph, LlamaIndex
 * Architecture multi-agents (MCP, routing, tool calling, mémoire)
 * Développement d'APIs : FastAPI, REST/OData, webhooks, streaming
 * Google Cloud Platform (GCP) : Vertex AI, Cloud Run, GKE, Pub/Sub, BigQuery, Cloud Storage
 * Conteneurisation & CI/CD : Docker, GitHub Actions, Cloud Build
 * Sécurité & IAM : OAuth 2.0, OIDC, SAML 2.0, gestion des secrets, Zero Trust
 * Intégration de systèmes (SuccessFactors, Microsoft Teams, APIs)
 * Optimisation des performances (latence, temps de réponse, industrialisation des applications GenAI)
 * Anglais pro

EUR

Anglais
Intelligence artificielle
API
packaging
Google cloud platform
REST
TEAMS
Git
Optimisation des performances
Python
Docker

## Description

Optimisation technique :Résoudre les problèmes de latence et de temps de réponse du socle actuel.

 - Industrialisation :Sécuriser, conteneuriser et déployer les solutions sur GCP (CI/CD).
 - Développement de nouveaux cas d'usage :Concevoir des assistants GenAI RH orientés vers la productivité des équipes RH.
 - Architecture agentique :Mettre en oeuvre et orchestrer des architectures multiagents (routing, toolcalling, mémoire).

Livrables attendus :

 - Une intégration GenAI robuste et maintenable entre L'Oréal GPT, SuccessFactors et Teams.
 - Un ensemble de nouveaux cas d'usage RH développés et déployés.
 - Une documentation technique complète (architecture, flux, sécurité, APIs).
 - Un backlog d'évolutions et d'optimisations pour la plateforme.


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