Job Description
Are you ready to shape the ethical framework of the AI era? Nexus 2026 is seeking a visionary Lead AI Governance Architect to lead our efforts in ensuring Artificial General Intelligence (AGI) remains aligned with human values. As we approach the pivotal year of 2026, the demand for robust technical governance in machine learning is skyrocketing. You will be the guardian of our AI's decision-making processes, ensuring transparency, fairness, and safety at the core of our technology.
In this high-impact role, you will bridge the gap between complex algorithmic engineering and corporate compliance. You will work alongside world-class engineers and policy experts to design the architectural standards that will define the next decade of technology.
Why Join Nexus 2026?
- Shape the Future: Directly influence the development of AGI safety protocols that will be industry standards by 2026.
- Elite Team: Collaborate with top-tier researchers from MIT, Stanford, and OpenAI.
- Competitive Package: Comprehensive benefits, equity package, and flexible remote-first policy.
We are not just building software; we are building the future of human-machine interaction. If you have a passion for ethics, technology, and leadership, we want to hear from you.
Responsibilities
- Architect AI Safety Frameworks: Design and implement technical governance architectures that ensure AI systems adhere to ethical guidelines and regulatory standards.
- Adversarial Testing: Lead initiatives to identify and mitigate biases, vulnerabilities, and unintended behaviors in machine learning models before deployment.
- Policy Development: Translate complex ethical concepts into actionable technical requirements for software engineers and data scientists.
- Stakeholder Collaboration: Work with legal, compliance, and executive leadership to navigate the evolving landscape of AI regulation globally.
- Model Interpretability: Develop tools and methodologies to make AI decision-making processes transparent and understandable to non-technical stakeholders.
- Mentorship: Mentor junior architects and engineers on the importance of governance in software development.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Ethics, Philosophy, or a related technical field.
- Experience: 7+ years of experience in software engineering, machine learning, or a related technical role.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
- Governance Knowledge: Deep understanding of AI ethics frameworks, GDPR compliance, and emerging AI regulations.
- Leadership: Proven track record of leading cross-functional teams and managing large-scale technical projects.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical audiences and executive stakeholders.