Full-Time
AI Solutions Engineer
Banking
Posted on 9/11/2026
Nair Systems
No salary listed
Dubai - United Arab Emirates
In Person
The role is for UAE operations and may involve offshore or onsite work.
Bachelor's, Master's
Category
 Software Engineering (1) |
|---|
Required Skills
Middleware
Kubernetes
Microsoft Azure
Python
Data Science
Neural Networks
Machine Learning
Java
Docker
REST APIs
LangChain
C/C++
DevOps
Computer Vision
Data Analysis
Reinforcement Learning
Requirements
- A Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
- Six to eight years of experience in artificial intelligence, machine learning, and solution architecture, with a proven track record of designing and deploying artificial intelligence solutions.
- Hands-on experience with artificial intelligence tools, platforms, and cloud services such as Microsoft Azure.
- Strong background in machine learning algorithms, deep learning, data processing, and systems integration.
- Experience driving architecture governance, code quality, and technical standards.
- Experience delivering artificial intelligence and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or other highly regulated environments.
- Understanding of compliance, governance, risk management, and regulatory requirements.
- Proficiency in programming languages such as Python, Java, or C++.
- Familiarity with data pipeline tools and frameworks.
- Experience with cloud infrastructure, containerization using Docker and Kubernetes, and DevOps practices.
- Understanding of data architecture, data science, security, and privacy considerations in artificial intelligence systems.
- Experience designing artificial intelligence solutions integrated with enterprise platforms, Salesforce CRM, data lakes, content management systems, and application programming interfaces.
- Hands-on experience with frameworks and platforms such as Hugging Face, LangChain, Foundry, and OpenAI APIs.
- Experience designing, developing, and deploying agentic artificial intelligence solutions, including autonomous artificial intelligence agents, multi-agent systems, artificial intelligence orchestration frameworks, and agent-based workflow automation using platforms such as Azure AI Foundry and Agentforce.
- Familiarity with data engineering tools, data lakehouses such as Fabric, and extract, transform, and load pipelines.
- Ability to integrate artificial intelligence with enterprise platforms and legacy systems through RESTful APIs or middleware.
Responsibilities
- Design and deploy artificial intelligence solutions.
- Drive architecture governance, code quality, and technical standards.
- Design, develop, and deploy agentic artificial intelligence solutions, including autonomous agents, multi-agent systems, artificial intelligence orchestration frameworks, and agent-based workflow automation.
- Integrate artificial intelligence with enterprise platforms and legacy systems through RESTful APIs or middleware.
Desired Qualifications
- Experience with advanced artificial intelligence techniques such as reinforcement learning, natural language processing, or computer vision.
- Knowledge of artificial intelligence ethics and bias mitigation strategies.