Lead AI Engineer

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow.

No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a Lead AI Engineer to pioneer innovative AI and machine learning solutions, shaping the development and deployment of cutting-edge generative AI applications.

This role offers the opportunity to lead the charge in creating AI-driven efficiencies and impactful business outcomes while collaborating with diverse teams across the organization.

Responsibilities Build and deploy scalable AI/ML models and GenAI solutions in production

Design and maintain robust ETL pipelines and data workflows

Develop LLM-based applications using modern frameworks

Implement prompt engineering techniques for optimized AI outputs

Deploy models via APIs and integrate with enterprise applications

Ensure end-to-end ownership, including development, deployment, monitoring, and optimization

Collaborate with cross-functional teams to deliver business-driven AI solutions

Requirements8-13 years of general IT experience8+ years of experience in AI Engineering At least 1 year of relevant leadership experience

Strong programming skills in Python Hands-on experience with ETL and Data Pipelines Expertise in ML/DL frameworks such as Tensor Flow, PyTorch, Scikit-learn

Understanding of Prompt Engineering and working with LLMsFamiliarity with LLM frameworks like Lang Chain, Llama Index, Hugging Face Cloud experience with Azure, AWS, or GCPProficiency in MLOps tools like MLflow, Kubeflow, Airflow Strong experience in API development and Model DeploymentB2 level of English or higher, with an emphasis on technical communication skills

Nice to have

Experience with RAG architectures and vector databases

Knowledge of real-time or streaming data pipelines

Exposure to scalable system design and microservices architecture

Showcase of expertise in Databricks, Py Spark Background  in Cloud Data Solutions and ETL Pipelines We offer

Opportunity to work on technical challenges that may impact across geographies

Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications

Opportunity to share your ideas on international platforms

Sponsored Tech Talks & Hackathons Unlimited access to Linked In learning solutions

Possibility to relocate to any EPAM office for short and long-term projects

Focused individual development

Benefit package:

Health benefits

Retirement benefits

Paid time off Flexible benefits

Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
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