Senior AI Engineer

EPAM Systems; United Arab Emirates; Hybrid; AED 240,000 - 420,000; Full time

Job summary

EPAM Systems in the United Arab Emirates is seeking a Senior AI Engineer to join a hybrid team focused on an agentic platform for the Oil & Gas sector. You will lead design and development of AI-driven pipelines, collaborating with data scientists, engineers, and stakeholders to translate complex requirements into scalable solutions.

The role emphasizes cloud integration, DevOps for AI, and mentoring junior engineers while ensuring adherence to industry standards.

Qualifications

• Bachelor's or master's degree in CS, engineering, mathematics or related field
• Strong hands-on AI engineering experience with daily coding
• Experience with Azure, AWS or GCP
• Excellent problem-solving and client-facing collaboration
• Familiarity with OT integration in Oil & Gas

Responsibilities

• Design and develop scalable AI-driven agentic platforms for Oil & Gas applications
• Build, optimize, and maintain robust machine learning pipelines and models
• Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions
• Implement data quality, reliability, and performance improvements across large datasets
• Integrate AI solutions with existing enterprise systems and cloud platforms
• Lead technical discussions and mentor junior engineers
• Contribute to best practices, coding standards, and technical documentation
• Troubleshoot, optimize, and refactor existing AI pipelines for performance and scalability
• Ensure compliance with industry standards and client requirements
• Drive innovation by exploring new AI technologies and methodologies

Skills

AI engineering

Python

Distributed ML pipelines

Cloud platforms

DevOps for AI

Communication

Education

Bachelor's or Master's degree in CS/Engineering/Math

Tools

Databricks

PySpark

Git

Cloud SDKs

Job description

We're looking for a Senior AI Engineer to join our team in United Arab Emirates in a hybrid working mode. As a Senior AI Engineer, you will play a critical role in developing an agentic platform tailored for the Oil & Gas sector. Your work will directly impact business outcomes by enabling advanced automation, intelligent decision-making, and operational efficiency for our clients in the industry. This is an opportunity to contribute to innovative solutions that drive digital transformation and add measurable value to client operations.

Responsibilities

• Design and develop scalable AI-driven agentic platforms for Oil & Gas applications
• Build, optimize, and maintain robust machine learning pipelines and models
• Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions
• Implement data quality, reliability, and performance improvements across large, complex datasets
• Integrate AI solutions with existing enterprise systems and cloud platforms
• Lead technical discussions and mentor junior engineers within the team
• Contribute to best practices, coding standards, and technical documentation
• Troubleshoot, optimize, and refactor existing AI pipelines for performance and scalability
• Ensure compliance with industry standards and client requirements
• Drive innovation by exploring new AI technologies and methodologies

Requirements

Bachelor's or Master's Degree in Computer Science, Engineering, Mathematics, or related fields, or relevant work experience Strong experience in AI engineering, with recent hands-on coding as a core part of your daily role Expertise in building high-performance, distributed machine learning pipelines Experience with cloud platforms (Azure, AWS, or GCP) Solid understanding of data engineering concepts and relational databases Experience with CI/CD, Git, and modern DevOps practices for AI solutions Strong problem-solving, communication, and client-facing collaboration skills Knowledge of agentic systems and their application in industrial settings Familiarity with Oil & Gas industry data and workflows Nice to have Exposure to reinforcement learning or advanced agentic architectures Experience with Databricks, PySpark, or similar big data technologies Understanding of operational technology (OT) integration in Oil & Gas Certification in cloud or AI technologies Experience with data science workflows and analytics platforms