Job Description
Are you ready to architect the ethical future of the 2026 digital landscape?
At Aetherion Dynamics, we are pioneering the next generation of autonomous decision-making systems. As we approach the pivotal year of 2026, we are seeking a visionary Lead AI Alignment Architect to lead our mission in ensuring artificial general intelligence remains safe, beneficial, and strictly aligned with human values. This is a high-impact role for a technical leader who wants to define the rules of the game for the next era of computing.
You will work directly with our Chief Scientists and Engineering teams to build the safety frameworks that will protect billions of users worldwide. If you are passionate about the intersection of advanced technology and ethical responsibility, we want to hear from you.
Why Join Us?
- Shape the foundational safety protocols for next-gen AI systems.
- Work in a fully remote-friendly, high-performance environment.
- Competitive compensation and equity packages reflecting your market value.
Responsibilities
- Architect Safety Frameworks: Design and implement robust, scalable safety protocols for 2026-era generative AI and autonomous agents.
- Risk Mitigation: Conduct rigorous adversarial testing and red-teaming exercises to identify and neutralize vulnerabilities in complex systems.
- Model Interpretability: Develop tools and methodologies to make black-box AI decisions transparent, auditable, and explainable to stakeholders.
- Policy Definition: Collaborate with legal and policy teams to draft industry-leading guidelines for AI governance and safety compliance.
- Mentorship: Lead a team of junior engineers and researchers, fostering a culture of technical excellence and ethical awareness.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Philosophy, or a related technical field with a focus on AI ethics.
- Experience: 5+ years of professional experience in Machine Learning engineering, AI safety research, or deep learning architecture.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow, with a deep understanding of probabilistic modeling and Natural Language Processing (NLP).
- Research: Demonstrated ability to publish research in top-tier AI conferences (NeurIPS, ICML, ACL, etc.) or equivalent industry contributions.
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts for non-technical stakeholders.