Job Description
Are you ready to architect the ethical foundation of Artificial Intelligence in the year 2026? Nexus Future Labs is looking for a visionary Senior AI Governance Architect to lead our mission in defining the future of machine intelligence.
As we approach the 2026 technological horizon, the intersection of AI and human values becomes critical. In this pivotal role, you will not only ensure compliance with evolving regulations but will also pioneer new frameworks for safe, transparent, and beneficial AI deployment. You will bridge the gap between complex algorithmic models and the ethical standards required by society.
Why Join Us?
- Work on cutting-edge projects that define the 2026 technological landscape.
- Competitive equity and benefits package for top-tier talent.
- Flexible hybrid work environment in the heart of San Francisco.
Responsibilities
- Develop Governance Frameworks: Design and implement comprehensive AI ethics and compliance frameworks tailored for the 2026 regulatory landscape.
- Model Auditing: Conduct rigorous audits of machine learning models to identify and mitigate algorithmic bias and safety risks.
- Stakeholder Engagement: Collaborate with cross-functional teams, including engineers, product managers, and legal counsel, to integrate ethics into the SDLC.
- Policy Advocacy: Stay ahead of global AI regulations (e.g., EU AI Act, US Executive Orders) and advise leadership on strategic policy adjustments.
- Training & Culture: Lead internal workshops to foster a culture of responsible AI development across the organization.
- Research & Innovation: Monitor emerging trends in AI alignment and responsible tech to ensure our systems remain robust and trustworthy.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Ethics, Philosophy, Law, or a related technical field.
- Experience: Minimum of 5+ years of experience in AI ethics, compliance, or a related technical role within the tech industry.
- Technical Proficiency: Deep understanding of machine learning concepts, neural networks, and data structures.
- Regulatory Knowledge: Familiarity with international data protection laws and AI governance standards.
- Communication: Exceptional ability to translate complex ethical concepts into actionable business strategies.
- Problem Solving: Strong analytical skills with a proven track record of navigating high-stakes ethical dilemmas.