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Information Technology 🏒 Full Time ⭐️ Verified

Project 2026: Senior AI Architect

Nexus Horizon
San Francisco
Estimated Salary
USD 165.000 – USD 220.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are building the technological foundation for the year 2026 and beyond. At Nexus Horizon, we are not just predicting the future; we are engineering it. We are seeking a visionary Senior AI Architect to lead our core research division and design the neural architectures that will define the next era of synthetic intelligence.

In this high-impact role, you will work at the intersection of deep learning, quantum computing, and ethical AI governance. You will be responsible for building scalable systems that push the boundaries of what is possible in autonomous decision-making and generative modeling. If you are obsessed with solving complex problems and want to leave a legacy in the future of technology, this is your opportunity to join the vanguard.

Responsibilities

  • Design and deploy state-of-the-art neural networks for autonomous decision-making systems.
  • Lead research initiatives into emergent behaviors in Large Language Models (LLMs).
  • Collaborate with cross-functional engineering teams to integrate AI solutions into next-gen consumer hardware.
  • Establish frameworks for ethical AI, bias mitigation, and safety in automated systems.
  • Optimize model inference speed for edge devices using advanced quantization and compression techniques.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • 5+ years of experience building production-grade machine learning systems.
  • Deep expertise in PyTorch, TensorFlow, and distributed computing frameworks (Ray, Kubernetes).
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR).
  • Strong understanding of cognitive architectures, reinforcement learning, and MLOps.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Architecture MLOps

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