ai engineer

EPAM provides digital platform engineering and software development services, focusing on the design and implementation of enterprise-grade AI solutions that integrate into business operations.

• 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.

• 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.

• Relocation support is available.