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EPAM Systems

Open 74d

Senior AI Engineer - Data Platforms

Posted Updated 15 views
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Summary

Senior AI Engineer builds and deploys scalable AI workflows, integrating models with enterprise systems and ensuring reliability, safety, and compliance in production.

We're looking for a Senior AI Engineer to join our team in Nicosia, Cyprus, in a hybrid working mode. In this role, you will act as the bridge between data science experimentation and enterprise-grade production systems. You will focus on transforming AI models into scalable, reliable and well-governed solutions that integrate seamlessly into business workflows. This position offers an opportunity to work on large-scale AI transformation initiatives, embedding intelligence across end-to-end operations and driving innovation in a global data ecosystem.

Responsibilities

  • Design and implement AI workflows combining models, enterprise data, tools and business logic
  • Develop and maintain prompt engineering strategies, including testing and optimization
  • Implement orchestration layers for multi-step reasoning, decisioning and action execution
  • Integrate AI capabilities into enterprise systems, APIs and user interfaces
  • Apply guardrails to ensure explainable, safe, and compliant AI behavior
  • Build and maintain production-grade AI deployment pipelines ensuring reliability and scalability
  • Implement observability for AI systems focusing on usage, performance and drift monitoring
  • Ensure operational excellence through versioning, rollback, release management and cost efficiency
  • Collaborate with data scientists, actuaries and business stakeholders to validate model outputs

Requirements

  • 5+ years of experience in software engineering with a focus on AI engineering or similar roles
  • Strong foundation in designing and deploying AI workflows in production environments
  • Hands-on experience with MLOps, CI/CD for ML and orchestration tools
  • Proficiency in orchestrating multi-step workflows and integrating AI with enterprise services
  • Familiarity with monitoring and observability practices for AI/ML systems
  • Strong programming skills in Python or similar languages and experience with AI-related libraries
  • Understanding of cloud environments and cost optimization strategies
  • Excellent communication and collaboration skills to work in cross-functional teams
  • Fluency in English

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

Skills

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See also

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