About the Role
We are currently seeking an AI Solutions Engineer for our operations in the UAE, available for both offshore and onsite opportunities. This role involves designing, developing, and deploying innovative AI solutions, with a focus on compliance and governance within financial services and highly regulated environments.
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Qualifications
- Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
Experience
- 6 to 8 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, particularly Microsoft Azure.
- Strong background in machine learning algorithms, deep learning, data processing, and systems integration, capable of driving architecture governance and maintaining code quality and technical standards.
- Demonstrated experience in delivering AI and digital transformation solutions within financial services, banking, fintech, and regulatory authorities, 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 and containerization (Docker, Kubernetes), as well as DevOps practices.
- Solid understanding of data architecture, data science, and security and privacy considerations in AI systems.
- Ability to design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs) and hands-on experience with frameworks such as Hugging Face, LangChain, Foundry, and OpenAI APIs.
- Proven expertise in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation, utilizing platforms such as Azure AI Foundry and Agentforce.
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 capability to work effectively in cross-functional teams.
- Detail-oriented with a focus on delivering high-quality, scalable solutions.
Data & Integration Skills
- Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines.
- Proficient in integrating AI with enterprise platforms and legacy systems via RESTful APIs or middleware.
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).