Job Description
Join FutureTech Innovations as an AI Ethics Specialist to shape the responsible future of artificial intelligence. As we approach 2026, this role bridges cutting-edge technology with ethical governance, ensuring our AI systems align with societal values while driving innovation. You'll lead initiatives to prevent algorithmic bias, ensure regulatory compliance, and build trust in AI deployments across our global product ecosystem. This is a pivotal opportunity to define ethical frameworks that will influence the next generation of intelligent systems.
Our ideal candidate thrives at the intersection of technology and philosophy, collaborating with cross-functional teams to embed ethical considerations into every stage of the AI lifecycle. You'll work with executive leadership to develop policies, conduct risk assessments, and champion transparency in AI decision-making processes. If you're passionate about ensuring technology serves humanity responsibly, we invite you to lead this critical mission.
Responsibilities
- Develop and implement AI ethics frameworks aligned with emerging 2026 regulatory standards
- Conduct algorithmic bias audits and mitigation strategies for machine learning systems
- Lead stakeholder workshops to establish ethical guidelines for AI product development
- Monitor global AI legislation and adapt organizational policies proactively
- Design transparency protocols for AI decision-making processes
- Collaborate with engineering teams to embed ethical safeguards into AI architectures
- Author impact assessments for high-stakes AI deployments
- Educate internal teams on ethical AI principles and best practices
Qualifications
- Master's degree in Ethics, Philosophy, Computer Science, or related field
- 3+ years in AI ethics, responsible AI, or governance roles
- Expertise in bias detection methods for ML models and datasets
- Deep understanding of global AI regulations (EU AI Act, NIST AI RMF)
- Experience with AI system transparency and explainability techniques
- Strong stakeholder management across technical and non-technical teams
- Published work or research in AI ethics or responsible AI
- Ability to translate complex ethical concepts into actionable policies