AI Solutions Engineer Banking
Summary
Designs and deploys AI solutions for banking and fintech clients, integrating agentic AI, cloud platforms (Azure), and enterprise systems with a focus on compliance and governance.
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