AI Tech Lead at TEN-XER in Dubai | Artificial Intelligence Jobs | September 2026

Job at a Glance

  • πŸ“ Location: Dubai, Dubai, United Arab Emirates
  • 🏒 Company: TEN-XER
  • πŸ’Ό Employment Type: Full-time
  • πŸ“Š Seniority: Not Applicable
  • πŸ—‚οΈ Function: Other
  • 🏭 Industry: Human Resources Services
  • πŸ“… Date Posted: 2026-09-09
  • 🌐 Category: Artificial Intelligence

About the Role & Company

The AI Tech Lead vacancy at TEN-XER sits in Dubai, Dubai, United Arab Emirates. You’d be plugging into a Artificial Intelligence team where the workload is growing, not shrinking. Career-wise, joining a growing team beats a static one; there’s more room to shape scope early. You’ll cover the core AI Tech Lead remit, with room to pick up adjacent work as the team matures. GCC demand for artificial intelligence skills is still healthy, and Dubai continues to sit at the top of the regional pay bands. Bottom line β€” the mix of growth stage, market position and role scope makes this worth a serious look for the right applicant.

Key Requirements

  • Comfort with proven experience leading AI projects from conception to deployment
  • Strong background in machine learning, deep learning, and natural language processing
  • Experience with AI frameworks such as TensorFlow, PyTorch, or similar
  • Skilled in programming languages such as Python, R, or Java
  • solving skills and ability to work in a fast
  • Hands-on time with bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  • Working knowledge of over 10 years of experience in AI or related technology fields
  • Experience in leading cross

Job Description

As an AI Tech Lead, you’ll be expected to handle leading the design, development, and implementation of advanced AI solutions. you’ll guide technical teams in deploying AI technologies and make sure alignment with organizational goals. Your role will involve staying at the forefront of AI advancements and integrating them to enhance business processes.

Key Responsibilities: – Lead the AI strategy and roadmap development. – Supervise and mentor a team of AI developers and data scientists. – Design scalable AI models and oversee their deployment and maintenance. – Work closely with stakeholders to understand business needs and translate them into AI solutions. – Make sure that AI projects are completed on time, within budget, and meet quality standards. – Stay updated with the latest trends and technologies in AI and recommend their adoption. – Conduct performance evaluations and handle resource planning for the AI team.

What’s needed: – Proven experience leading AI projects from conception to deployment. – Strong background in machine learning, deep learning, and natural language processing. – Experience with AI frameworks such as TensorFlow, PyTorch, or similar. – Skilled in programming languages such as Python, R, or Java. – Strong problem-solving skills and ability to work in a high-tempo environment. – Strong communication and leadership skills.

Qualifications: – Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. – Over 10 years of experience in AI or related technology fields. – Experience in leading cross-functional teams and managing multiple projects. – Demonstrated track record of designing high-impact AI solutions. – Familiarity with cloud platforms and AI services like AWS, Azure, or Google Cloud.

Benefits: – Competitive salary and comprehensive benefits package. – Role to work on modern AI projects. – Continuous learning and professional development opportunities. – Collaborative and practical work environment.

ATS Resume Tips for This Role

To get past Applicant Tracking Systems (ATS) for this AI Tech Lead opening, tailor your resume with the pointers below:

  1. Include these keywords verbatim in your Skills and Experience sections: Python, TensorFlow, PyTorch, Machine Learning, Deep Learning, NLP, LLM, Computer Vision, MLOps, Data Pipelines. ATS parsers match exact strings, not synonyms.
  2. Use a single-column layout. Two-column resumes break parsers β€” text gets scrambled or dropped.
  3. Save as .docx or standard .pdf (not scanned/image PDF). Avoid text boxes, headers, footers, graphics.
  4. Use standard section headings: Experience, Education, Skills, Certifications.
  5. Mirror the exact job title (AI Tech Lead) in your target role line where truthful.
  6. Quantify results with numbers, percentages, currency. Metrics improve ATS scoring and human review.
  7. Spell acronyms out once (e.g., Search Engine Optimization (SEO)) so parser catches both forms.
  8. Font: Arial, Calibri, or Times New Roman at 10-12pt. Fancy fonts can render as unreadable glyphs.

Top 10 Interview Questions for This Role

  1. Walk me through your background and why you’re interested in this role.
  2. Describe a challenging project you owned end-to-end. What was the outcome?
  3. Tell me about a time you disagreed with a stakeholder. How did you handle it?
  4. How do you prioritize when everything on your plate feels urgent?
  5. How do you decide between fine-tuning a model vs. prompt engineering?
  6. Explain overfitting to a non-technical stakeholder.
  7. Walk through your data validation pipeline for training data.
  8. How do you evaluate model performance beyond accuracy?
  9. Describe your MLOps setup β€” from experimentation to production.
  10. How do you handle model drift once a system is in production?

How to Apply

Apply Now on LinkedIn β†’

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