Overview
Primary Objectives
To lead and inspire the AI engineering team in driving innovation
Overseeing the end-to-end design and deployment of scalable, secure, and compliant AI solutions, and establishing best practices and standards
Ensures the optimal evaluation and integration of AI technologies aligned with the RHB ’s ecosystem, while collaborating closely with stakeholders to align AI initiatives with business goals
Actively contributes to governance by advising on AI risks and progress, ensuring regulatory and ethical compliance, proactively mitigating risks, and fostering a culture of continuous learning and knowledge sharing within the team
Experiences
- Experience building, or being an active member of AI Engineering or of similar nature in the past
- Must have worked in the capacity of a senior executive and drove the AI engineering practice of similar nature like RHB
- Experience in deploying AI solutions with Generative AI tools
- Proven track record in scaling engineering teams and fostering a high-performance culture
- Professional experience architecting and operating solutions built on Azure / AWS AI offerings
Other Skills Required
Deep knowledge of ISO 42001 and NIST AI RMF best practicesStrong programming background in Python / .NETProficiency in model lifecycle management, and performance monitoringWork iteratively in a team (Agile ways of working) with continuous collaborationSelf-motivated and strong communicationAbility to lead and influence team membersProblem management and analytical thinking.High attention to detail, with a strong focus on quality and accountability#J-18808-Ljbffr