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Information Technology 🏒 Full Time ⭐️ Verified

AI Architect: 2026 Readiness Initiative

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

Job Description

The Future of Intelligence Starts Here.

We are on a mission to redefine the technological landscape by 2026. Nexus Horizon Labs is seeking a visionary AI Architect to lead our next-generation autonomous systems research. In this pivotal role, you won't just be maintaining legacy models; you will architect the brain of our future products, ensuring scalability, ethics, and unprecedented performance.

Join a team of world-class engineers and researchers pushing the boundaries of what is possible in Generative AI and Cognitive Computing.

Responsibilities

  • Architect Vision: Design and implement cutting-edge AI infrastructures capable of handling next-generation computational loads.
  • R&D Leadership: Spearhead research initiatives focused on Large Language Models (LLMs) and reinforcement learning to align with our 2026 roadmap.
  • System Optimization: Lead the optimization of inference pipelines to reduce latency and improve energy efficiency in edge devices.
  • Team Mentorship: Foster a culture of innovation by mentoring junior engineers and conducting advanced technical workshops.
  • Strategic Collaboration: Work closely with product managers and data scientists to translate complex business needs into technical architecture.
  • Ethical AI: Ensure all systems adhere to strict ethical guidelines and safety protocols for autonomous decision-making.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • Experience: 5+ years of professional experience designing large-scale machine learning systems.
  • Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and CUDA programming.
  • Specialization: Deep expertise in NLP, Computer Vision, or Reinforcement Learning is highly preferred.
  • Leadership: Demonstrated ability to lead cross-functional engineering teams and manage technical roadmaps.
  • Communication: Exceptional written and verbal communication skills for technical presentations.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch NLP CUDA Cloud Architecture System Design Leadership

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