Job Description
We are building the ethical foundation for the artificial intelligence revolution. As we approach the pivotal year of 2026, the integration of advanced AI into global infrastructure demands a new standard of responsibility, safety, and governance. Horizon AI Systems is seeking a visionary Senior AI Policy & Ethics Engineer to lead our efforts in defining the guardrails for our next-generation models.
In this role, you will bridge the gap between cutting-edge machine learning research and real-world regulatory compliance. You will shape the policies that protect users, ensure fairness, and drive innovation in a rapidly evolving landscape.
Responsibilities
- Define Governance Frameworks: Develop and implement comprehensive AI governance policies, ensuring alignment with emerging global regulations and internal ethical standards.
- Safety & Bias Audits: Conduct rigorous testing and bias assessments on proprietary Large Language Models (LLMs) to identify and mitigate algorithmic risks.
- Regulatory Navigation: Collaborate with legal and compliance teams to interpret and apply data privacy laws (GDPR, CCPA) and AI safety guidelines.
- Stakeholder Education: Lead internal training sessions and workshops on AI ethics, ensuring engineering teams understand the implications of their work.
- Risk Mitigation: Establish protocols for red-teaming AI systems to proactively identify vulnerabilities and potential misuse scenarios.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Philosophy, Law, or a related field with a focus on AI ethics.
- Experience: 5+ years of experience in AI/ML research, software engineering, or policy-making, with a specific focus on NLP or generative AI.
- Technical Proficiency: Deep understanding of the machine learning lifecycle, including training data curation, model deployment, and monitoring.
- Regulatory Knowledge: Strong working knowledge of data privacy regulations and international AI safety standards (e.g., EU AI Act, NIST AI Risk Management Framework).
- Communication: Exceptional ability to translate complex technical concepts into clear, actionable policy recommendations for diverse audiences.