Job Description
Join Nexus Future Labs at the forefront of responsible AI innovation. We're seeking an AI Ethics Strategist to shape the ethical frameworks guiding our 2026 product roadmap. This role requires blending technical acumen with philosophical rigor to ensure our AI systems advance humanity while mitigating risks. You'll collaborate with cross-functional teams to embed ethical principles into the design, development, and deployment of cutting-edge AI solutions.
Our ideal candidate thrives at the intersection of technology and ethics, with a passion for building equitable AI systems that empower diverse communities. You'll influence organizational policy, conduct risk assessments, and pioneer industry standards for AI governance. This is your chance to define the ethical backbone of tomorrow's technology.
Responsibilities
- Develop and implement AI ethics frameworks aligned with 2026 regulatory requirements and societal expectations
- Conduct bias audits and ethical risk assessments for ML models and autonomous systems
- Partner with engineering teams to embed ethical design principles in product development lifecycles
- Create transparency documentation and explainability protocols for high-stakes AI decisions
- Advocate for inclusive AI practices through stakeholder workshops and organizational training
- Monitor emerging ethical challenges in AI and update governance policies proactively
- Represent the company at international AI ethics forums and industry coalitions
Qualifications
- Advanced degree in Philosophy, Ethics, Computer Science, or related field (PhD preferred)
- 5+ years in AI governance, responsible AI, or technology ethics roles
- Expertise in ML fairness metrics, bias mitigation techniques, and explainable AI
- Experience with global AI regulations (EU AI Act, NIST AI RMF, etc.)
- Strong ability to translate complex ethical concepts into technical requirements
- Proven track record of developing organizational AI ethics policies
- Excellent cross-functional communication skills with technical and non-technical stakeholders
- Publication record in AI ethics or relevant conferences strongly preferred