Senior AI Architect: Generative & Agentic Systems Lead

TEN-XER; Dubai; On-site; AED 350,000 - 520,000; Full time

Job summary

TEN-XER in Dubai seeks an accomplished Senior AI Engineer to lead the design, development, and deployment of Generative and Agentic AI solutions. You will mentor engineers, drive scalable architectures, and collaborate with product teams to embed AI across offerings.

Candidates should have 10+ years in AI, publications desirable, and strong Python/TensorFlow/PyTorch skills; experience deploying in cloud and a track record of large-scale systems.

Qualifications

• Over 10 years of experience in AI development, with Generative and Agentic AI.
• Proven track record of developing large-scale AI systems in a commercial setting.
• Strong programming skills in Python, TensorFlow, PyTorch, or similar AI frameworks.
• Deep understanding of ML principles, neural network architecture, and NLP.
• Excellent problem-solving skills and ability to innovate using latest AI technologies.

Responsibilities

• Design, develop, and optimize cutting-edge AI models with Generative and Agentic AI applications.
• Collaborate with cross-functional teams to integrate AI into products and services.
• Conduct research to advance AI state of the art and contribute to publications.
• Implement robust ML algorithms to enhance AI system performance and capabilities.
• Lead the development of scalable AI systems with high efficiency and accuracy.
• Evaluate and improve existing AI models to align with latest technologies.
• Mentor junior engineers and drive professional development within the AI team.

Skills

Python

TensorFlow

PyTorch

NLP

ML concepts

Neural networks

Education

Master’s or Doctoral degree in Computer Science, AI, ML, or related field

Tools

Cloud platforms

Git

Jupyter Notebooks

Job description

TEN-XER in Dubai seeks an accomplished Senior AI Engineer to lead the design, development, and deployment of Generative and Agentic AI solutions. You will mentor engineers, drive scalable architectures, and collaborate with product teams to embed AI across offerings.

Candidates should have 10+ years in AI, publications desirable, and strong Python/TensorFlow/PyTorch skills; experience deploying in cloud and a track record of large-scale systems.