Data & AI Architect

At Devoteam, we are Digital Transformakers. Respect, honesty, and passion drive our team every day. Together, we help our clients win the digital battle: from consulting and implementing innovative technologies to driving user adoption. Cloud, Cybersecurity, Data, DevOps, Fullstack Development, Low Code, and RPA hold no secrets for our team! Our 10,000+ employees are certified, trained, and supported daily to tackle new and innovative challenges. A leader in Cloud, Cybersecurity, and Data in EMEA, the Devoteam Group achieved a revenue of €1.036 billion in 2022 and aims to double it within the next five years. Devoteam Morocco, a leading player in IT expertise for over 30 years (350+ consultants), is accelerating its growth by developing its nearshore expertise activities to meet the needs of our French, European, and Middle Eastern clients. Are you ready to join us and take on this challenge together?

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 tasks

• 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.

Technical skills required

• 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

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.