Responsible AI Sr Specialist

• Collaborate with design and engineering teams to integrate responsible AI requirements into technical architecture, data pipelines, and model development processes
• Develop and maintain responsible AI design standards, checklists, and frameworks to guide teams throughout the product lifecycle
• Integrate Responsible AI activities as part of standard AI software development lifecycle (SDLC) processes to ensure seamless integration
• Prepare and implement an Annual Local Responsible AI Plan aligned with global and local AI strategies
• Develop and maintain a risk register, ensuring that remediation plans are defined and implemented for all identified non-compliance issues
• Conduct AI risk assessments and impact analysis before and during deployment
• Provide classification and identification of AI activities into Prohibited, High, Medium, and Low risk categories
• Identify potential harms and develop mitigation strategies
• Identify control deficiencies, issues, and instances of non-compliance
• Build and manage an AI inventory — a centralized register of all AI systems and models in use, including their purpose, categorization, data sources, risk level, and ownership and ensure it is viewed on a regular basis
• Monitor adherence to governance policies and track the lifecycle of AI systems from development through decommissioning
• Assess and manage responsible AI risks associated with third-party AI vendors, tools, and models used within the organization
• Conduct due diligence on external AI suppliers to ensure alignment with the organization's ethical standards, governance policies, and regulatory requirements
• Establish contractual and procedural safeguards to ensure third-party AI components meet responsible AI standards
• Develop policies and procedures that guide responsible AI practices across the organization
• Ensure organizational compliance with relevant legal and regulatory requirements (e.g., PDPL, EU AI Act)
• Ensure AI decision-making processes are understandable to relevant stakeholders
• Continuously monitor deployed AI systems for unexpected behavior or harm
• Lead investigations and corrective actions when AI-related incidents occur
• Lifecycle Oversight: Embed Responsible AI controls across the entire AI lifecycle (design, development, testing, deployment, and monitoring), ensuring that all required checkpoints, approvals, and documentation are in place
• Model Monitoring & Assurance: Oversee the continuous monitoring of AI systems for bias, performance drift, safety issues, and unintended consequences, and ensure that periodic reviews, audits, and validation activities are conducted
• Policies & Standards: Draft, maintain, and continuously enhance Responsible AI policies, guidelines, and control standards
• Governance Ownership: Own decisions related to the design, implementation, and ongoing

• Previous experience in Privacy or/and technology or/and legal or/and relevant role
• Ability to lead & influence cross functional teams
• Excellent communication, presentation & reporting skills
• Spotting any potential risk, provide potential solution if any or report to relevant management
• Strong knowledge of GDPR, PDPL & EU AI Act
• Deep understanding of Generative AI capabilities, LLM lifecycles, and Agentic Workflows
• Familiar with the current company technical assets
• Previous experience in technology or compliance or relevant roles

AIGP, ISO 42001 is a plus