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Senior AI Alignment Architect - 2026 Horizon

Nexus Future Systems
San Francisco
Estimated Salary
USD 280.000 – USD 380.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join Nexus Future Systems, a pioneer at the intersection of Artificial General Intelligence (AGI) and ethical engineering. We are defining the roadmap for the 2026 era, creating the foundational architecture for safe, scalable, and super-intelligent AI systems. This is not just a job; it is a mission to ensure the future of humanity's partnership with machine intelligence.

Why Join Us?

As we approach the 2026 milestone, the demand for responsible AI leadership is at an all-time high. You will work alongside the brightest minds in the industry, utilizing cutting-edge quantum computing resources to solve some of the most complex alignment problems in history. We offer competitive equity, remote-first flexibility, and the chance to shape the very fabric of the digital future.

Responsibilities

  • Define Safety Protocols: Design and implement rigorous safety protocols for next-generation Large Language Models and reinforcement learning agents to ensure alignment with human values.
  • Quantum Integration: Collaborate with quantum hardware engineers to develop hybrid quantum-classical algorithms that improve model robustness and efficiency.
  • Architecture Strategy: Lead the technical vision for our 2026 roadmap, defining the architectural pillars required for scalable, autonomous AI agents.
  • Mentorship: Guide a team of senior researchers and engineers, fostering a culture of innovation, critical thinking, and ethical responsibility.
  • Risk Assessment: Conduct rigorous adversarial testing and red-teaming exercises to identify and mitigate potential systemic risks in AI deployments.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, Cognitive Science, or a related quantitative field.
  • Experience: 8+ years of experience in AI research or software engineering, with at least 3 years in a leadership or architectural role.
  • Technical Skills: Deep expertise in deep learning frameworks (PyTorch, TensorFlow), transformer architectures, and causal inference methods.
  • Quantum Awareness: Familiarity with quantum computing concepts (Qiskit, Cirq) and their application to optimization problems.
  • Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow Quantum Computing Ethics Causal Inference NLP System Architecture

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