Senior AI Data Engineer

We're looking for a Senior AI Data Engineer to join our team in Nicosia, Cyprus, in a hybrid working mode. In this role, you will bridge the gap between data science experimentation and enterprise-grade production systems for AI solutions. You will design, implement and maintain scalable AI workflows that integrate seamlessly into business operations, ensuring compliance, reliability and performance. This is a key opportunity to contribute to building production-grade AI systems that drive strategic decision-making and operational excellence.

Responsibilities

• Design and develop AI workflows combining models, enterprise data, APIs and business logic
• Implement and optimize prompt engineering strategies, including testing and versioning
• Build and maintain production-ready AI/ML deployment pipelines (MLOps)
• Ensure scalability, observability and compliance for AI solutions
• Integrate AI capabilities into enterprise applications and APIs for seamless workflows
• Establish and maintain best practices for change control, model governance and explainability
• Collaborate with data scientists, actuaries and business teams to validate AI models and outputs
• Troubleshoot AI systems, improve performance and ensure cost efficiency in large-scale deployments
• Apply security and regulatory guardrails across all AI-driven solutions

Requirements

• Strong proficiency in SQL and Python for building AI-driven workflows
• Hands-on experience with Prompt Engineering for LLM-based solutions
• Deep understanding of Machine Learning and practical productionization experience
• Expertise in MLOps, including deployment and monitoring of AI models at scale
• Experience developing Generative AI solutions for enterprise environments
• Advanced knowledge of APIs and integration for connecting AI systems to business workflows
• Ability to design robust, secure and scalable AI systems with full observability

Nice to have

• Familiarity with AI governance, compliance and explainability frameworks
• Background in (Re)Insurance IT ecosystems and related data flows

Benefits

• Private healthcare insurance
• Global travel medical and accident insurance
• Regular performance assessments
• Referral bonuses
• Family friendly initiatives
• Learning and development opportunities including in-house training and coaching, professional certifications, and courses
• *All benefits and perks are subject to certain eligibility requirements