Agentic AI Solutions Engineer

VAM Systems; Dubai; On-site; AED 260,000 - 420,000; Full time

Job summary

VAM Systems seeks an AI Solutions Engineer to lead design, deployment and governance of AI solutions across our UAE operations. The role demands hands-on ML/AI, architecture governance, and integration with enterprise platforms, including cloud services like Azure.

You will work with cross-functional teams to deliver compliant, scalable AI architectures in a regulated financial services context, leveraging advanced frameworks and APIs.

Qualifications

• Bachelor's or master's degree in Computer Science, Engineering, AI or related field
• 6–8 years of experience in AI, ML and solution architecture with a proven track record of designing and deploying AI solutions
• Hands-on experience with AI tools and cloud services like Microsoft Azure
• Strong background in ML algorithms, deep learning, data processing and systems integration
• Ability to drive architecture governance, code quality and technical standards and deliver AI solutions in regulated environments

Responsibilities

• Design, deploy and govern AI solutions across enterprise platforms
• Architect scalable AI systems and ensure code quality and technical standards
• Collaborate with cross-functional teams and stakeholders
• Integrate AI with enterprise systems via RESTful APIs or middleware

Skills

Python

Java

C

AI/ML

Solution architecture

RESTful APIs

Education

Bachelor's or Master's degree in Computer Science, Engineering, AI or related field

Tools

Azure

Docker

Kubernetes

Hugging Face

LangChain

Foundry

OpenAI APIs

Agentforce

Job description

Job Description

We are currently looking for AI Solutions Engineer for Offshore Onsite our UAE operations with the following terms and conditions.

Qualifications

• Education Bachelor s or Master s degree in Computer Science Engineering Artificial Intelligence or related field
• 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 Microsoft Azure Strong background in machine learning algorithms deep learning data processing and systems integration Ability to drive architecture governance code quality and technical standards 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 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

Experience

• 6 to 8 Years

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