AI Solutions Engineer - Banking

VAM Systems Inc

Abu Dhabi

On-site

AED 240,000 - 360,000

Full time

8 days ago

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Job summary

VAM Systems Inc. is seeking an AI Solutions Engineer for Offshore/Onsite operations in the UAE. The role requires 6 to 8 years of hands-on experience in AI, ML, and solution architecture, with a track record of deploying AI solutions in regulated environments.

The ideal candidate will be proficient in Python, Java or C++, and cloud infra (Azure), with experience in Docker/Kubernetes and AI frameworks such as Hugging Face, LangChain, Foundry and OpenAI APIs. Immediate joining available.

Qualifications

  • Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.
  • Experience: 6 to 8 years in AI, ML, solution architecture with deployment experience.
  • Proven delivery of AI and digital transformation projects in highly regulated environments is preferred.

Responsibilities

  • Design, develop, and deploy AI solutions and agents across enterprise platforms.
  • Governance, code quality, and adherence to technical standards for AI systems.
  • Collaborate with cross-functional teams and stakeholders to deliver scalable AI architectures.

Skills

AI solution architecture
Python
Java
C++
Azure cloud services
RESTful APIs
Docker
Kubernetes
Hugging Face
LangChain
OpenAI APIs
AI governance & security

Education

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

Tools

Docker
Kubernetes
Azure AI Foundry
Foundry
LangChain
Hugging Face
OpenAI APIs

Job description

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

Terms and conditions

Joining time frame: Immediate

Additional Information

Terms and conditions:

Joining time frame: maximum 4 weeks

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