AI Solution Architect

## Job Purpose AI Solution Architect take responsibility for designing, building, and deploying comprehensive AI solutions, align with TCB’ technology strategy and business objectives. AI Solution Architect acts as a bridge between the engineering, business teams and transform ideas into viable, effective, and scalable AI solutions. ## Key Accountabilities (1) - Analyze business requirements and translate them into AI solution architectures. Present solutions to clients/management, supporting the decision-making process; - Design end-to-end AI systems: from data collection, processing, model training, deployment, and monitoring. Propose suitable AI/ML technologies, frameworks, and platforms. - Build architectures that ensure security, scalability, and cost optimization; - Work closely with Data Scientists, Data Engineers, and Software Engineers to ensure feasibility and performance; - Develop long-term AI strategies to align and enable business growth & strategy; - Monitor emerging AI trends and propose practical applications. ## Key Relationships - Direct Reports Expert, Teamlead, Senior Officer and Officer ## Key Relationships - Internal Stakeholders Units in the bank (RB, CA, ...) ## Success Profile - Qualification and Experiences Required Technical Skills - Proficient in AI/ML tools and frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face. - In-depth understanding of distributed system architecture and cloud computing (Azure, AWS, GCP) - Skills in end-to-end solution design, including Data Pipeline, Model Training, Deployment, and Monitoring - Knowledge of Large Language Models (LLMs, Vector DBs, RAG) - Strong security principles including IAM, encryption, audit trail Required Qualifications - Bachelor’s degree in Computer Science, Data Engineering, or related field - 5+ years of experience in AI/ML, including at least 2 years in a solution architect role. - Experience in banking/finance is a plus.