Agentic AI Solutions Engineer Banking

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