Agentic AI Solutions Engineer for (OffshoreOnsite)

VAM Systems

Dubai

On-site

AED 240,000 - 420,000

Full time

8 days ago

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Job summary

VAM Systems is seeking an AI Solutions Engineer for its UAE operations (on-site in Dubai) to design and deploy AI solutions across industries, with emphasis on governance and regulatory compliance.

The ideal candidate has 6–8 years in AI, ML, solution architecture, cloud platforms (Azure), and hands-on experience with AI tools and frameworks; strong communication and cross-functional leadership.

Qualifications

  • Bachelors or Masters degree in Computer Science, AI or related field.
  • 6–8 years of experience in AI, ML and solution architecture.
  • Experience delivering AI solutions in regulated industries with compliance focus.
  • Hands-on with Azure cloud and AI tooling.
  • Strong governance, risk management and regulatory understanding.
  • Proficient in Python, Java or C and data processing concepts.

Responsibilities

  • Design, develop and deploy AI solutions across business domains.
  • Lead architecture governance, code quality and technical standards.
  • Collaborate with cross-functional teams and stakeholders.

Skills

Python
Java
C
AI frameworks
Azure cloud
Kubernetes
DevOps
Data integration
REST APIs
LangChain

Education

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

Tools

Docker
Kubernetes
Azure AI Foundry
OpenAI APIs
Salesforce CRM
Datalake/ETL

Job description

We are currently looking for AI Solutions Engineer for (Offshore/Onsite) our UAE operations with the following terms & conditions.

Qualifications

Education: Bachelors or Masters 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.

Terms and conditions

Joining time frame: Immediate


Additional Information
Terms and conditions
Joining time frame

maximum 4 weeks


Remote Work

No


Employment Type

Full-time

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