Senior Engineer, Artificial Intelligence @ ADNOC

JOB PURPOSE

The Senior Engineer, Artificial Intelligence, will play a pivotal role in driving technological advancements and innovation within the organization. This position is responsible for designing, developing, and implementing cutting-edge AI solutions to address complex challenges and improve operational efficiency. The role requires a deep understanding of AI and data science principles, as well as the ability to collaborate across teams to integrate AI technologies into existing systems. The Senior Engineer will also contribute to the organization's digital transformation initiatives, ensuring alignment with strategic goals and industry standards. This position demands a proactive approach to problem-solving, a commitment to continuous learning, and the ability to mentor junior team members in AI methodologies and practices.

KEY ACCOUNTABILITIES

Job Specific

• Design and develop advanced AI models and algorithms to solve complex problems.
• Implement machine learning solutions to enhance operational efficiency and decision-making.
• Collaborate with cross-functional teams to integrate AI technologies into existing systems.
• Conduct research to identify emerging AI trends and technologies for potential application.
• Optimize AI models for performance, scalability, and reliability.
• Develop and maintain documentation for AI solutions and processes.
• Provide technical guidance and mentorship to junior engineers and team members.
• Ensure compliance with industry standards and organizational policies in AI implementations.
• Analyze data to extract actionable insights and support strategic decision-making.
• Participate in digital transformation initiatives to align AI solutions with organizational goals.

Generic

• Lead the development and implementation of innovative solutions to improve business processes.
• Ensure alignment of AI projects with organizational objectives and industry standards.
• Collaborate with stakeholders to understand requirements and deliver tailored AI solutions.
• Monitor and evaluate the performance of AI systems to ensure optimal functionality.
• Maintain up-to-date knowledge of advancements in AI and data science.
• Contribute to the organization's R&D efforts by exploring new technologies and methodologies.
• Develop training materials and conduct workshops to enhance team capabilities.
• Support the creation of strategic plans for technology development and data analytics.

COMMUNICATION & WORKING RELATIONSHIP

Internal

• Collaborate with cross-functional teams to understand project requirements and deliver AI solutions.
• Provide regular updates to management on project progress and outcomes.
• Mentor junior team members and share knowledge on AI methodologies and best practices.
• Coordinate with the R&D and Technology Development teams to align AI initiatives with organizational goals.

External

• Engage with external stakeholders to understand industry trends and incorporate best practices.
• Represent the organization at industry events and conferences to showcase AI capabilities.
• Collaborate with external partners and vendors to integrate AI technologies.
• Contribute to publications and presentations to enhance the organization's reputation in AI and data science.

QUALIFICATIONS, EXPERIENCE, KNOWLEDGE & SKILLS

Minimum Qualification

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Strong understanding of machine learning, deep learning, and data analytics.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with AI frameworks and tools like TensorFlow, PyTorch, or similar.

Minimum Experience & Knowledge & Skills

• 5+ years of experience in AI and data science roles.
• Proven track record of developing and deploying AI solutions in a professional setting.
• Experience in leading projects and mentoring team members.

Professional Certifications

• Certification in AI or machine learning (e.g., TensorFlow Developer Certificate, AWS Certified Machine Learning).
• Relevant certifications in data science or analytics.