Agentic AI Solutions Engineer - Banking at VAM SYSTEMS

VAM SYSTEMS; Dubai; On-site; AED 240,000 - 420,000; Full time

Job summary

VAM SYSTEMS in Dubai seeks an Agentic AI Solutions Engineer for banking operations. You will design, develop, and deploy AI solutions with a focus on governance, security, and scalable architecture on Azure. This senior role requires strong collaboration across engineering, data, and product teams.

The position is full-time, on-site in Dubai, with immediate joining. Experience in regulated financial services and ML model governance is highly valued.

Qualifications

• Bachelor's or Master's in CS/Engineering/AI or related field.
• 6 to 8 years of experience in AI, ML, and solution architecture.
• Hands-on with AI tools and Azure cloud services.
• Experience delivering AI solutions in financial services/regulated environments.

Responsibilities

• Design, develop, and deploy Agentic AI solutions and autonomous agents.
• Architect governance, code quality, and technical standards.
• Integrate AI with enterprise platforms via APIs and middleware.
• Lead cross-functional teams on AI projects in banking contexts.

Skills

Analytical thinking

Communication

Leadership

Detail oriented

Education

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

Tools

Python

Java

C++

Docker

Kubernetes

Azure

OpenAI APIs

Hugging Face

LangChain

Foundry

Job description

Agentic AI Solutions Engineer - Banking at VAM SYSTEMS in Dubai, DU, AE

This Full time on site position offers great opportunities for career growth.

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.
• Maximum 4 weeks.