AI Data Architect

ITMAGINATION is hiring an AI Data Architect to define high-level blueprints integrating Generative AI, traditional ML, and enterprise data warehouses into a unified, secure platform. The role focuses on strategic data ecosystem vision, balancing performance, scalability, and compliance with global regulations.

• 10+ years in Data/Software Architecture with a focus on large-scale distributed systems.
• Mastery of AWS, GCP, and Azure data/AI ecosystems.
• Authority-level knowledge of Apache Spark, Snowflake, BigQuery, and Hadoop ecosystems.
• Significant experience supporting LLM/GenAI use cases (Vector embeddings, RAG architectures, evaluation frameworks).
• Expert knowledge of enterprise governance, metadata management, and the EU AI Act/GDPR landscape.
• Proven ability to design architectures balancing performance, scalability, and cost optimization.
• Experience with orchestration and evaluation tools like Kubeflow, MLflow, and advanced observability stacks.
• Preferably a Master’s or PhD in Computer Science, Data Science, or related quantitative field.

Enterprise Architecture:

• Define the long-term vision for cloud-native AI data platforms (AWS, Azure, GCP).

Responsible AI Frameworks:

• Architect enterprise-wide standards for AI data governance, including model explainability and auditability protocols.

Strategic Integration:

• Design the integration layer between Vector Databases, Graph Databases, and traditional Data Warehouses for GenAI use cases.

Operational Strategy:

• Define the MLOps and LLMOps roadmap, ensuring seamless deployment and monitoring at scale.

Stakeholder Advisory:

• Consult C-suite and VP-level stakeholders on data roadmap prioritization and cost management.

Innovation:

• Evaluate emerging technologies in the Spark ecosystem and AI space to maintain competitive edge.