Artificial Intelligence Engineer

Key Responsibilities

• Extend and maintain the enterprise Data Platform (Databricks on Azure), adapting to evolving business and technical requirements.
• Lead the implementation and lifecycle management of Azure AI services, including AI Foundry, AI Search, OpenAI Service, and Document Intelligence, acting as the technical owner.
• Establish governance frameworks and ensure data security and compliance across Azure services within the data platform.
• Design and develop robust data ingestion pipelines to support AI-driven initiatives.
• Collaborate with cross-functional teams on AI-related projects and solutions.
• Provide technical mentorship and guidance to team members as needed.
• Contribute to architectural decisions, AI model selection, and other key technical discussions.
• Create and maintain comprehensive documentation for data and AI infrastructure and processes.

Qualifications

• Proven experience as a Data or AI Engineer.
• Minimum of 3 years of hands-on experience with Databricks.
• Solid experience with Azure AI services.
• Proficiency with Infrastructure as Code, particularly using Terraform.
• Remote work flexibility up to 50%.