AI Solutions Engineer - Banking

Role Overview

AI Solutions Engineer - Banking at VAM Systems in UAE, available on offshore or onsite basis.

Role Purpose

Design, develop, and deploy AI and machine learning solutions tailored to the banking and financial services sector, with expertise in cloud platforms, enterprise integration, and regulated environment compliance.

Key Responsibilities

Solution Design & Architecture

• Design AI solutions integrated with enterprise platforms including Salesforce CRM, data lakes, CMS, and APIs.
• Drive architecture governance, code quality, and technical standards across AI initiatives.
• Establish AI solution frameworks that meet banking regulatory and compliance requirements.

AI Development & Deployment

• Develop and deploy AI and digital transformation solutions within financial services, banking, and fintech environments.
• Design, develop, and deploy Agentic AI solutions including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation.
• Deliver machine learning algorithms and deep learning implementations integrated with enterprise systems.

Integration & Infrastructure

• Integrate AI solutions with enterprise platforms and legacy systems via RESTful APIs or middleware.
• Implement cloud infrastructure, containerization using Docker and Kubernetes, and DevOps practices.
• Establish data pipelines, data lakehouses, and ETL frameworks to support AI systems.

Governance & Compliance

• Ensure AI solutions meet compliance, governance, and risk management requirements specific to highly regulated financial services environments.
• Apply understanding of regulatory requirements and industry standards in banking operations.
• Incorporate AI ethics and bias mitigation strategies into solution design.

Qualifications & Experience

• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.
• 6 to 8 years of experience in AI, machine learning, and solution architecture with proven track record of designing and deploying AI solutions.
• Hands-on experience with AI tools, platforms, and cloud services such as Microsoft Azure.
• Strong background in machine learning algorithms, deep learning, data processing, and systems integration.
• Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments.
• Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision (preferred).
• Knowledge of AI ethics and bias mitigation strategies (preferred).

Skills & Competencies

Technical Skills

• Proficient in programming languages including Python, Java, or C++.
• Hands-on experience with frameworks including Hugging Face, LangChain, Foundry, and OpenAI APIs.
• Demonstrated experience with Azure AI Foundry and Agentforce platforms.
• Familiarity with data pipeline tools and frameworks.
• Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.
• Familiarity with data engineering tools, data lakehouses such as Fabric, and ETL pipelines.

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 ability to work effectively in cross-functional teams.
• Detail-oriented and focused on delivering high-quality, scalable solutions.

Additional Information

• Joining time frame: Maximum 4 weeks.