AI Solutions Architect

VAM Systems; Dubai; On-site; AED 350,000 - 750,000; Full time

Job summary

VAM Systems in the United Arab Emirates invites an AI Solutions Architect to lead the design and deployment of enterprise AI solutions for UAE operations. You will drive architecture decisions, collaborate with cross-functional teams, and translate business needs into scalable AI systems.

Applicants should have 6–8 years of experience, strong cloud and ML background, and hands-on experience with Python, ML frameworks, and data pipelines.

Qualifications

• Bachelors or Masters degree in CS/AI or related field.
• Experience in AI/ML solution architecture and deployment.
• Hands-on with AI tools and cloud services (AWS/GCP/Azure).

Skills

Leadership

Communication

Analytical thinking

Problem solving

Detail-oriented

Education

Bachelor's/Master's in CS/AI

Tools

Docker

Kubernetes

DevOps

Cloud platforms

Job description

We are currently looking forAI Solutions Architect forourUAE operations with the following Skill set and terms & conditions.

Skill Sets :

Education: Bachelors or Masters degree in Computer Science Engineering Artificial Intelligence or related field.

Qualifications:

Experience:

• Good 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 AWS Google Cloud or Microsoft Azure.
• Strong background in machine learning algorithms deep learning data processing and systems integration.

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.

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.

Preferred Qualifications:

• Certifications in AI technologies or cloud platforms (e.g. AWS Certified Solutions Architect Google Cloud Professional Machine Learning Engineer).
• Experience with advanced AI techniques such as reinforcement learning natural language processing or computer vision.
• Knowledge of AI ethics and bias mitigation strategies.

Personal Attributes:

• Ability to innovate and think critically about solving complex business problems with AI.
• Strong interpersonal and communication skills for collaboration with stakeholders at all levels.
• Self-motivated proactive and comfortable working in a dynamic and fast-paced environment.
• 6 to 8 Years.

Joining time frame:2 weeks (maximum 1 month)

Additional Information :

Terms and conditions:

Joining time frame: maximum 4 weeks

Remote Work :

No

Employment Type :

Full-time