AI Solutions Engineer - Banking
VAM Systems · Dubai, Dubai, United Arab Emirates
IT Services and IT Consulting · 51-200 employees
About the role
Design, develop, and deploy scalable AI solutions integrated with enterprise platforms and legacy systems. Ensure architecture governance, code quality, and technical standards while managing compliance and risk in highly regulated banking environments.
What they look for
Requirements
Requires a Bachelor's or Master's degree in Computer Science or AI with 6 to 8 years of experience in machine learning and solution architecture. Proven expertise in cloud infrastructure, containerization, and designing Agentic AI systems is essential.
Full description
Company Description
Job Description
We are currently 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
