Agentic AI Solutions Engineer - Banking
Full-time
VAM Systems
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
Vacancy posted 8 hours ago
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