Job Description
Join FutureGuard AI at the forefront of responsible AI innovation as we prepare for the technological landscape of 2026. We're seeking an AI Ethics Lead to architect ethical frameworks that will guide the next generation of autonomous systems. This pivotal role demands a visionary who can balance cutting-edge AI development with human-centered values, ensuring our solutions remain trustworthy, transparent, and aligned with societal needs.
In this position, you'll collaborate with C-suite executives, research scientists, and product teams to embed ethical considerations into every stage of AI development. You'll pioneer industry standards for algorithmic fairness, data privacy, and bias mitigation while representing our commitment to ethical tech at global forums. If you're passionate about harnessing AI's potential while safeguarding humanity, this is your opportunity to define the ethical blueprint for 2026.
Responsibilities
- Design and implement comprehensive AI ethics governance frameworks for autonomous systems
- Lead cross-functional ethics audits for machine learning models and data pipelines
- Develop bias mitigation protocols for high-stakes AI applications in healthcare and finance
- Advocate for ethical AI principles in product roadmaps and engineering workflows
- Represent the company at regulatory panels and industry ethics summits
- Train technical teams on ethical AI development practices and compliance standards
- Research emerging ethical challenges in generative AI and predictive analytics
Qualifications
- Master's degree in Ethics, Philosophy, Computer Science, or related field (PhD preferred)
- 5+ years in AI ethics, responsible AI, or compliance leadership role
- Expertise in bias detection algorithms and fairness metrics (AIF360, IBM Fairness 360)
- Deep understanding of GDPR, EU AI Act, and evolving AI regulatory landscapes
- Proven experience developing ethics frameworks for autonomous systems
- Strong stakeholder management skills with technical and non-technical audiences
- Publications in AI ethics journals or conference presentations