- Company Name
- AXA Global Business Services (AXA GBS)
- Job Title
- Architecte Data & AI
- Job Description
-
**Job Title**
Data & AI Architect
**Role Summary**
Lead the technical governance and architecture of a unified Data & AI platform, accelerating AI/ML industrialization, ensuring consistency across MLOps, LLMOps, and DataOps environments, and driving platform modernization within an Azure‑based ecosystem.
**Expectations**
- Deliver a cohesive target architecture diagram and implementation framework for MLOps/LLMOps.
- Produce best‑practice guides for DataOps, CI/CD, and model monitoring.
- Create dashboards for AI/ML performance, maturity, and FinOps tracking.
- Recommend governance enhancements for federation, autonomy, security, and compliance (GDPR, AI Act, ISO 42001).
**Key Responsibilities**
- Design target architectures for AI/LLM use cases (MLOps, LLMOps, DataOps, Unity Catalog).
- Oversee Unity Catalog deployment across all Databricks environments (security, lineage, sharing, FinOps).
- Define and maintain the AI foundation architecture framework (governance, security, traceability, observability).
- Ensure technical consistency among Data Factory, AI Factory, and operational systems.
- Mentor DataOps/MLOps teams on automation, CI/CD, model monitoring, and best practices.
- Facilitate knowledge transfer on Databricks, Unity Catalog, MLFlow, Azure ML, Azure Data Factory.
- Collaborate with Delivery teams to guarantee pipeline reliability and environmental resilience.
- Prepare the platform for federated Data Products (MCP interoperability, Managed Server, automation).
- Propose AI‑by‑Design solutions, integrating internal LLM models and hybrid models.
- Lead innovation initiatives in AI observability, AI Cost Control/FinOps, and real‑time data activation.
**Required Skills**
- • Databricks Lakehouse Platform (Unity Catalog, MLFlow, Delta Sharing, Delta Live Tables).
- • Azure Data & AI services: Data Factory, Data Lake Storage, Event Hub, Key Vault, Azure ML, AI Gateway.
- • MLOps/LLMOps tooling and practices (CI/CD, model deployment, observability, monitoring).
- • Infrastructure-as-Code: Terraform, Azure DevOps.
- • Programming: Python, Spark, PySpark.
- • FinOps, security, data lineage, and observability expertise.
- • Knowledge of GDPR, AI Act, ISO 42001 compliance.
- • Strong communication, mentorship, and agile collaboration skills.
**Required Education & Certifications**
- Master’s degree in Computer Science, Data Science, Artificial Intelligence, or equivalent.
- Minimum 7 years of proven experience in Data & AI architecture.
- Azure certifications preferred (e.g., Azure Data Engineer Associate, Azure AI Engineer Associate).
Rabat-salé-kénitra, Morocco
Hybrid
Senior
10-02-2026