AI Solutions Engineer (Offshore/Onsite)

Unlock employer Dubai, United Arab Emirates Direct to Company Posted: 09 Aug 2026

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Financial

Estimate: $80k - $120k*
Zero income tax location

Accessibility

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Visa Provided

Requirements

Experience: Senior
English: Professional

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Position

We are currently looking for an AI Solutions Engineer for our UAE operations with the following terms & conditions.

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Location:
Dubai, United Arab Emirates

Qualifications:

Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
6 to 8 years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions.
Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments, with a strong understanding of compliance, governance, risk management, and regulatory requirements.

Technical Skills:

Proficient in programming languages such as Python, Java, or C++.
Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure.
Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.
Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices.
Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs).

Soft Skills:

Strong analytical and problem-solving skills.
Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
Leadership experience and the ability to work effectively in cross-functional teams.
Detail-oriented and focused on delivering high-quality, scalable solutions.

Data & Integration:

Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines.
Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.

Preferred Qualifications:

Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision.
Knowledge of AI ethics and bias mitigation strategies.

Terms and Conditions: