Content Designer

Fujitsu; Brussel; Sur place; EUR 50 000 - 85 000; Plein temps

Résumé du poste

Fujitsu is seeking an Expert Content Designer to lead conversational UX and content strategy for AI-powered chatbots. The role emphasizes practical UX knowledge, design systems, and collaboration with AI and engineering teams.

Candidates should bring experience in agile environments, LangChain/Large Language Models, and secure frontend practices. The position requires strong communication in FR/NL and English according to regional needs.

Qualifications

• Education level: Higher education or equivalent through experience.
• Substantial practical experience with Chatbots, AI tech, or UX/UI domains.
• Experience on projects in Chatbot AI or UX/UI domains.
• Knowledge of agile processes and design systems.

Connaissances

Chatbots

AI technology

UX/UI domain

Agile development

Design systems

Scrum

Design thinking

DevOps

CI/CD pipelines

Security in frontend

OAuth2 / JWT

LLM APIs integration

Python LangChain

REST/GraphQL

SQL / NoSQL

Git / version control

Docker / OpenShift

Kubernetes

LangChain

RAG architectures

RASA / Botpress / Voiceflow

Formation

Higher education or equivalent through experience

Outils

LangChain

Botpress

Voiceflow

Rasa

GitLab

ArgoCD

ELK

Docker

OpenShift

REST/GraphQL

Description du poste

Below is what is required:

Expert profile 2: Content Designer

• Minimum number of years of experience in this position or equivalent positions:
  • Senior: >5 years
  • Medior: >3 years
  • Junior: >1 year
• Communication skills in one of the two national languages (FR or NL) and English
  • for each section at least Dutch or French: very good (3/4)
  • and for each section at least English: very good (3/4)
• Education level (Higher education or equivalent through experience)
• Substantial and practical experience and knowledge of products and techniques:
  • Knowledge of Chatbots, AI technology, or knowledge of the UX/UI domain
  • Knowledge based on projects in the Chatbot AI or UX/UI domain
• General skills, knowledge of products and techniques:
  • Affinity with agile development and design systems
  • Affinity with agile methodology and Scrum
  • Understanding of design thinking and agile working methods
  • Knowledge of DevOps and CI/CD pipelines
  • Basic knowledge of ITIL or similar methodologies
  • Knowledge of security principles: Understanding of security in frontend development (XSS, CSRF), general principles (input validation, audit logging), API security (rate-limiting), and best practices in DevOps.
  • Competencies in architecture and performance: Proficiency in event-driven, cloud-native, and network architectures, and an affinity for scalability and performance optimization.
  • Understanding of AI and NLP (theory): Basic knowledge and insight into NLP architectures, tokenization, cost management, Python with AI ecosystems (Transformers, LangChain), open-source LLMs, and basic integrations.
  • Ethical and regulatory sensitivity: Affinity with GDPR, ethics in AI, information security, access management, and digital government services.
  • Competencies in UX and communication: Insight into UX for conversational interfaces, accessibility, information architecture, content strategy, and skills in written/oral communication with clients.
  • Management and methodologies: Understanding of organizational and decision-making processes, solution- and service-oriented thinking, administrative accuracy, and user management.
  • Management and technical methodologies: Version control via Git/branching
  • Backend development: Development in Java (Spring Boot) and Python (LangChain), integration of LLM APIs, REST/GraphQL endpoints, database management (SQL, NoSQL), authentication/authorization (OAuth2, JWT), unit/integration tests.
  • DevOps and infrastructure: CI/CD integration, containerization (Docker, OpenShift), cluster/namespace management, configuration pipelines (GitLab, ArgoCD), monitoring/alerting, logging (ELK), Infrastructure as Code, secrets management, microservices/AI deployment, backup strategies, troubleshooting.
  • AI and LLM expertise (practical): Integration of LLMs, development with LangChain, prompt engineering, RAG architectures, output validation, AI security, benchmarking, governance, guardrails (NeMo), embeddings/vector search.
  • Conversation design: Dialogue design, tools (Botpress, Voiceflow, Rasa), annotation/dataset training, copywriting, feedback analysis, tone of voice, collaboration with AI experts, testing flows, iteration/A/B testing, documentation.
  • Service management: Following up on SLAs/KPIs, organizing meetings, complaint handling, stakeholder management, reporting, support coordination, needs evaluation, service catalogs, escalation management.
  • Support and communication: Registration/handling of inquiries, ticketing systems (JIRA, ServiceNow), categorization/prioritization, basic tool knowledge, escalation to higher levels, support testing, customer-friendly communication, FAQs, onboarding, feedback collection.