Post a Job

AI Solutions Engineer (Offshore/Onsite)

Unlock employer Abu Dhabi, United Arab Emirates Direct to Company Posted: 17 Aug 2026

Apply Direct

Financial

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

Accessibility

Visa Provided

Requirements

Experience: Senior
English: Professional

Explore similar roles:

View Machine Learning Engineer jobs in Abu Dhabi · View all Machine Learning Engineer jobs

Position

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

Ready to apply for roles like this?

Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.

Unlock employer & apply directly

Location
UAE

Qualifications

Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or 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.
Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure.

Technical Skills

Proficient in programming languages such as Python, Java, or C++.
Familiarity with data pipeline tools and frameworks.
Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices.
Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.
Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands-on experience with frameworks like Hugging Face, LangChain, Foundry, OpenAI APIs, etc.
Demonstrated experience in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation using platforms such as Azure AI Foundry, Agentforce, etc.

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