CDI - AI Engineer – Digital Banking - SBS - Paris

Sopra Steria; Courbevoie; Hybride; EUR 55 000 - 80 000; Plein temps

Résumé du poste

Une entreprise leader dans le secteur de la fintech recherche un Ingénieur AI pour concevoir une plateforme innovante d'agents intelligents pour le secteur bancaire. Avec une équipe petite et impactante, vous jouerez un rôle clé dans la formation de cette nouvelle ligne de produits d'IA générative. Les responsabilités incluent la conception de pipelines de données et l'intégration de réglementations de conformité, tout en mentorant des ingénieurs juniors.

Prestations

Travail hybride avec des ateliers réguliers sur site

Pas de dette technique : démarrer avec les dernières recherches et outils

Possibilité de façonner la culture technologique au sein d'un groupe global

Qualifications

• 5+ années en ingénierie logicielle ou données avec 2+ années sur GenAI/NLP.
• Capacité à transformer des idées produit floues en production avec peu de supervision.
• Solides compétences en communication pour interagir avec des parties prenantes non techniques.

Responsabilités

• Conception et livraison de la plateforme RAG pour les agents AI bancaires.
• Mentorat de deux ingénieurs juniors sur les meilleures pratiques.
• Intégration de LLMs et mise en œuvre de la gouvernance des données.

Connaissances

Python

Kubernetes/OpenShift

ETL

MLOps

Sécurité & Conformité

Outils

Docker

Terraform

Description du poste

• Temps complet

SBS is a global financial technology company that’s helping banks and the financial services industry to reimagine how to operate in an increasingly digital world. SBS is a trusted partner of more than 1,500 financial institutions and large-scale lenders in 80 countries worldwide, including Santander, Societé Generale, KCB Bank, Kensington Mortgages, Mercedes-Benz, and Toyota FS. Its cloud platform offers clients a composable architecture to digitize operations, ranging from banking, lending, compliance, to payments, and consumer and asset finance. With 3,400 employees in 50 offices, SBS is recognized as a Top 10 European Fintech company by IDC and as a leader in Omdia’s Universe: Digital Banking Platforms. SBS is headquartered in Paris, France.

SBS builds mission-critical banking software and, together with our sister company Axway, now forms the 74 Software group. Within our Digital Banking Business Unit, we are assembling a small, high-impact team to craft a new generative-AI product line.

Your first mission: design and deliver a retrieval-augmented-generation (RAG) platform that lets bankers compose and deploy their own AI agents—securely, compliantly, and at scale. You will be one of the founding AI engineers on this journey, shaping architecture, practices, and culture from day one.

Key Responsibilities

End-to-end design of RAG pipelines: document ingestion, chunking, embedding, vector search, prompt engineering, guards, and evaluation.

Integrate open-source and commercial LLMs (e.g., OpenAI, Gemini, Llama-3 etc.) via LangChain / LlamaIndex or custom frameworks.

Build reusable “agent primitives” so non-technical users can chain tools, memory, and policies into bespoke banking assistants.

2. Data & Domain Governance

Implement data-classification, masking, PII scrubbing, and hallucination mitigation aligned to EU banking regs (EBA, GDPR, DORA).

Collaborate with our Risk & Compliance team to embed explainability and audit trails in every response.

Containerize and orchestrate AI micro-services on Kubernetes/OpenShift; automate CI/CD with GitLab.

Own model lifecycle: evaluation suites, continuous monitoring, rollback strategies, and cost optimisation.

Mentor two junior engineers and evangelise best practices across the company.

Work closely with Product, UX, and Solution Architects to translate banking workflows into agent capabilities.

Qualifications

Key Qualifications & Skills

Technical Expertise – must-have :

Programming: Python (advanced); TypeScript/Java is a plus.

Cloud & Containers: Kubernetes/OpenShift, Docker, Terraform; at least one major cloud (Azure preferred, AWS/GCP fine).

Data Engineering: ETL on structured & unstructured data, streaming (Kafka/PubSub), SQL optimisation.

MLOps: CI/CD for models, experiment tracking (MLflow/Weights & Biases), monitoring (Prometheus/Grafana).

Security & Compliance: OAuth2/OIDC (Keycloak), RBAC, secrets management, encryption in transit & at rest; familiarity with banking regulations.

Technical Expertise – nice-to-have

Retrieval algorithms beyond dense vectors (hybrid BM25 + embeddings).

Experience rolling out AI chat/agent products to external customers.

Knowledge of EU or MEA banking standards

Experience & Work Ethic:

5 + years in software or data engineering with 2 + years hands-on GenAI / NLP.

Proven ability to take fuzzy product ideas to production with minimal supervision.

Strong communication skills; comfortable presenting technical trade-offs to non-technical stakeholders.

Why Join Us?

Green-field GenAI stack: no tech debt—start with the latest research and tools.

Real-world impact: empower banks to launch compliant AI services their customers can trust.

Ownership & growth: shape the engineering culture inside a global group while staying in a tight, startup-like squad.

Hybrid work & Paris HQ: flexible policy with regular on-site workshops for deep collaboration.

+ Zoom avant

- Zoom arrière

Fin Déplacement de 75% vers la droite