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Future AI Architect - San Francisco, CA

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are on the cusp of a technological revolution. As we look toward the year 2026 and beyond, Nexus Horizon is seeking a visionary Future AI Architect to lead the charge in building the next generation of intelligent systems.

In this role, you won't just be maintaining existing codebases; you will architect the foundation for autonomous agents, generative models with reasoning capabilities, and quantum-enhanced computing solutions. We are looking for a pioneer who thrives in ambiguity and is obsessed with the future of human-machine interaction.

Why Join Us?

  • Work at the intersection of Generative AI, Quantum Computing, and Future Tech.
  • Competitive equity package and top-tier healthcare benefits.
  • Flexible remote-first culture with a hub in the heart of San Francisco.

Responsibilities

  • Architect scalable neural network infrastructures designed for 2026 computing paradigms and beyond.
  • Lead research initiatives in LLM fine-tuning, multi-modal AI integration, and emergent reasoning models.
  • Define and implement ethical AI governance frameworks to ensure responsible deployment at scale.
  • Collaborate with cross-functional teams to integrate AI models into edge computing devices and IoT ecosystems.
  • Optimize inference latency and model efficiency for real-time, high-throughput applications.
  • Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in AI/ML engineering, with a strong focus on deep learning and neural architecture search.
  • Proven track record of deploying large-scale machine learning models in production environments.
  • Expert knowledge of Python, PyTorch, TensorFlow, and distributed computing frameworks (Ray, Kubernetes).
  • Strong understanding of AI ethics, bias mitigation, and regulatory compliance standards.
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Artificial Intelligence Machine Learning Neural Networks Python PyTorch TensorFlow Cloud Architecture Ethics R&D Deep Learning Quantum Computing

Ready to Take This Challenge?

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