Job Description
We are pioneering the next generation of artificial intelligence, and we need a visionary leader to ensure our innovations are built on a foundation of integrity. As the Head of AI Ethics & Governance, you will be the guardian of our technological conscience, shaping the ethical framework that will define the industry standards for 2026 and beyond.
In this pivotal role, you will bridge the gap between complex technical development and societal impact. You will work closely with our engineering teams, legal departments, and executive leadership to navigate the rapidly evolving landscape of AI regulation, bias mitigation, and responsible deployment.
Why join us?
- Shape the future of technology in a city that never sleeps.
- Work with world-class talent solving humanity's hardest problems.
- Competitive compensation package and equity opportunities.
Responsibilities
- Architect the Ethics Framework: Develop and maintain a comprehensive AI ethics framework that guides product development and corporate strategy.
- Bias Auditing & Compliance: Lead regular audits of our machine learning models and datasets to identify and rectify algorithmic bias and ensure regulatory compliance.
- Stakeholder Leadership: Act as the primary spokesperson for the company's ethical stance, engaging with regulators, partners, and the public.
- Policy Development: Stay ahead of global legislation (such as the EU AI Act and US federal guidelines) and translate them into actionable technical requirements.
- Education & Training: Establish internal training programs to empower engineers and product managers to make ethical decisions during the design process.
- Risk Management: Proactively identify potential ethical risks in emerging technologies and implement mitigation strategies.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Ethics, Philosophy, Law, or a related field.
- Experience: 10+ years of experience in AI/ML, with at least 5 years in a senior leadership, compliance, or governance role.
- Technical Expertise: Deep understanding of machine learning concepts, Large Language Models (LLMs), and generative AI architectures.
- Regulatory Knowledge: Proven track record of working with or advising on AI compliance frameworks and international data privacy laws.
- Communication: Exceptional ability to articulate complex ethical and technical concepts to non-technical stakeholders.
- Strategic Vision: Ability to anticipate future trends in AI governance and adapt organizational processes accordingly.