Job Description
Join the forefront of responsible AI development as FutureTech Innovations seeks an AI Ethics Governance Specialist to shape the ethical frameworks for our 2026 product roadmap. This pivotal role bridges cutting-edge AI innovation with human-centric values, ensuring our autonomous systems advance society while mitigating existential risks. You'll architect governance policies that balance technological ambition with ethical imperatives, working directly with C-suite executives to embed ethics into our DNA.
As a steward of our AI ethics program, you'll influence industry standards through policy development, conduct cross-functional audits, and pioneer transparency initiatives that build public trust in AI. This position offers unparalleled impact at the intersection of technology, philosophy, and policy during humanity's most transformative technological era.
Responsibilities
- Design and implement AI ethics governance frameworks aligned with emerging 2026 regulatory landscapes
- Conduct preemptive ethical risk assessments for autonomous systems and generative AI models
- Lead cross-functional ethics committees with engineering, legal, and product teams
- Develop algorithmic transparency protocols and explainability standards
- Advocate for inclusive design principles in AI development lifecycles
- Monitor global AI ethics legislation and update corporate policies proactively
- Train leadership teams on ethical AI deployment strategies
Qualifications
- Master's degree in Ethics, Philosophy, Computer Science, or related field (PhD preferred)
- 5+ years in AI governance, responsible AI, or ethics compliance roles
- Deep expertise in EU AI Act, NIST AI RMF, and emerging global AI regulations
- Proven experience developing AI ethics policies for enterprise-scale deployments
- Strong background in technical ethics with ability to communicate complex concepts to non-technical stakeholders
- Certification in AI ethics governance (e.g., IEEE Ethically Aligned Design)
- Demonstrated impact in mitigating AI bias or harm through governance interventions