Agentic AI Solutions Engineer - Enterprise AI

Remotedxb

Dubai

On-site

AED 480,000 - 720,000

Full time

14 days+

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Job summary

VAM Systems is seeking an experienced AI Solutions Architect to design, develop, and deploy Agentic AI systems, including autonomous agents and multi-agent architectures, to support enterprise scale initiatives in the UAE.

The role focuses on governance, code quality, and integration of AI with platforms like Salesforce CRM, datalakes, broader APIs, and legacy systems, leveraging Azure, Hugging Face, LangChain, and OpenAI tools within a regulated financial services context.

Qualifications

  • 6 to 8 years of AI, ML, and solution architecture experience.
  • Experience delivering AI solutions within financial services or highly regulated environments.
  • Proficiency in Python, Java, or C++.
  • Hands-on experience with Microsoft Azure and AI tools like Hugging Face, LangChain, or OpenAI APIs.
  • Experience with containerization (Docker, Kubernetes) and DevOps practices.
  • Bachelor's or Master's degree in Computer Science, Engineering, or AI.

Responsibilities

  • Design, develop, and deploy Agentic AI solutions including autonomous agents and multi-agent systems
  • Drive architecture governance, code quality, and technical standards
  • Integrate AI solutions with enterprise platforms like Salesforce CRM, datalakes, and APIs
  • Implement AI orchestration frameworks and agent-based workflow automation
  • Integrate AI with legacy systems via RESTful APIs or middleware

Skills

AI/ML experience
Solution architecture
Programming: Python/Java/C++
DevOps practices

Education

Bachelor's or Master's in CS/Engineering/AI

Tools

Microsoft Azure
Hugging Face
LangChain
OpenAI APIs
Docker
Kubernetes

Job description

VAM Systems is seeking an experienced AI Solutions Architect to design, develop, and deploy Agentic AI systems, including autonomous agents and multi-agent architectures, to support enterprise scale initiatives in the UAE.

The role focuses on governance, code quality, and integration of AI with platforms like Salesforce CRM, datalakes, broader APIs, and legacy systems, leveraging Azure, Hugging Face, LangChain, and OpenAI tools within a regulated financial services context.

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