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Company Overview
A leading bank in Asia with a global presence, the organization operates more than 500 branches and offices across Asia Pacific, Europe, and North America. With over 80 years of history, the bank is guided by values of integrity, enterprising spirit, unity, and commitment, delivering innovative financial solutions while maintaining ethical and sustainable practices across all operations.
About the Department
As a strategic core pillar of the Innovation Group, Enterprise AI (EAI) serves as the bank’s AI center of excellence, championing adoption and driving business value through impactful AI initiatives across all business units. EAI focuses on AI expertise, continuous project delivery, and innovation, including AI research and advanced technology implementation.
Position Summary
The Responsible AI Specialist ensures AI systems are designed, deployed, and governed in alignment with ethical principles, regulatory standards, and organizational values. This role establishes standards, processes, and tools to embed fairness, transparency, accountability, and privacy into AI solutions, mitigating risks such as bias and unintended consequences.
Job Responsibilities
Responsible AI Governance & Operationalization
Develop and maintain internal AI standards, guidelines, and playbooks
Advise project teams on risk mitigation strategies and embed Responsible AI requirements as part of ‘AI by Design’
Act as primary liaison between business units and Risk Management on AI matters
Ensure adherence to global regulations and internal policies
Risk Assessment & Mitigation
Conduct risk impact assessments for AI models and applications
Identify and address bias, fairness, and explainability issues in AI systems
Implement controls and guardrails to reduce risks of misuse, hallucinations, and unintended outcomes
Stakeholder Engagement & Education
Build and nurture a community of practice around Responsible AI, engaging stakeholders across business, technology, data, risk, compliance, and legal teams
Drive awareness and training programs on Responsible AI principles across the organization
Act as a liaison with external forums, industry working groups, and academic partners
Provide guidance to business units on ethical AI adoption and risk management
AI Advocacy & Enablement
Champion adoption of advanced AI and Generative AI solutions, demonstrating value through projects, MVPs, and case studies
Serve as an internal advisor and educator on AI capabilities for senior stakeholders and business owners
Maintain awareness of external AI landscape, including frontier models, regulatory developments, and competitor activity
Qualifications/Requirements
10–15 years of experience in AI/ML, including technical practice, product ownership, or risk/governance roles with deep AI exposure
Strong understanding of AI lifecycle, AI/ML concepts, LLMs, Generative AI, model risk, algorithmic bias, and explainability
5+ years of experience with model validation methodologies
Working knowledge of AI regulatory frameworks and ethics principles
Excellent communication skills to translate technical and regulatory concepts for non-technical audiences
Ability to collaborate effectively across cross-functional teams
Bachelor’s or Master’s degree in Computer Science, Data Science, Ethics, Law, or related field
Responsible AI or AI Ethics certifications are desirable
Experience contributing to AI governance bodies, ethics boards, or industry working groups is a plus
Disclaimer
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1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality. 2. No Client Relationship: This company is not a client of SpringCube unless stated. 3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job. 4. No Liability: SpringCube is not liable for inaccuracies.
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