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AI Safety Architect (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

At Nexus Future Systems, we are not just predicting the future; we are engineering it. As we approach the pivotal year of 2026, our mission is to ensure Artificial General Intelligence (AGI) is safe, aligned, and beneficial for humanity. We are seeking a visionary AI Safety Architect to lead our technical strategy in mitigating risks associated with advanced model deployment.

If you are a forward-thinking engineer passionate about the ethical implications of AI and possess the technical acumen to build robust safety frameworks, this is your opportunity to define the standard for the next decade.

Why Join Us?

  • Impactful Work: Directly shape the safety protocols that will govern AGI by 2026.
  • Top-Tier Team: Collaborate with world-renowned researchers and engineers.
  • Equity Package: Competitive compensation with significant performance-based equity.
  • Flexible Environment: Hybrid work model based in our San Francisco HQ.

Responsibilities

  • Design and implement rigorous safety testing protocols for Large Language Models (LLMs) and multi-agent systems.
  • Develop adversarial attack simulations to identify vulnerabilities in AI logic before production release.
  • Collaborate with the research team to align model outputs with human values and safety constraints.
  • Establish clear red-teaming strategies for the 2026 roadmap.
  • Create documentation and standards for AI governance and compliance.
  • Mentor junior engineers on secure coding practices and ethical AI deployment.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related field.
  • 5+ years of experience in Machine Learning, NLP, or AI research.
  • Deep understanding of AI safety literature, including RLHF (Reinforcement Learning from Human Feedback) and Constitutional AI.
  • Proficiency in Python and familiarity with frameworks like PyTorch or TensorFlow.
  • Strong problem-solving skills with a focus on complex system architecture.
  • Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch AI Safety NLP Machine Learning Risk Assessment Ethics System Architecture RLHF

Ready to Take This Challenge?

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