As part of our business growth, we are looking for a Data & AI Architect passionate about new technologies, capable of designing, managing and industrializing high value-added Big Data and GenAI solutions for our clients.

Your responsibilities:

• Framing & Tech Architecture: Design target architectures (Batch, Real Time, Cloud and On-Premise) and technically manage projects from POC to industrialization.
• Data & AI Pipelines: Develop and orchestrate massive data processing (PySpark) and AI inference pipelines.
• GenAI & RAG Architectures: Implementing and optimizing advanced RAG solutions interconnected with language models (LLM) and vector databases.
• Streaming & Ingestion: Setting up high-performance real-time streams (Kafka, NiFi) connected to data and AI engines.
• Industrialization & MLOps/DevOps: Implement CI/CD pipelines, flow orchestration, monitoring and ensure performance, security and data quality.
• Leadership & Steering: Provide technical guidance to teams (Data, AI, Cloud), ensure project monitoring and explain architectural choices to Business and Product teams.

Required technical skills:

Big Data & Processing: Mastery of PySpark (Batch & Streaming) and distributed environments (Hadoop/Cloudera, HDFS).

Streaming & Ingestion: Solid expertise in Kafka and NiFi for real-time data processing.

Databases (NoSQL & Vector): Experience on Cassandra/Hive as well as on vector databases (Pinecone, FAISS, Weaviate or ChromaDB).

GenAI & Frameworks IA : Ma trise des LLM (OpenAI/Azure OpenAI, Claude, Mistral...), du Prompt Engineering et des frameworks associants (LangChain, LlamaIndex).

DevOps, MLOps & Orchestration: Solid CI/CD practices (GitLab, Docker), Python/FastAPI scripts and orchestration tools (Airflow, Prefect).

Cloud & DBMS: Good understanding of Cloud architectures (Azure, AWS or GCP) and mastery of the SQL language.

Desired Candidate Profile

Search profile:

Education: Bac+5 in computer science, software engineering, Data Science, AI or equivalent.

Experience: Proven experience in Data Architecture (~8 years and more) in Data Engineering and integration of AI solutions.

Skills: Technical leadership, analytical mind, communication skills and autonomy.

Languages: Technical English required.