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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Architect (Class of 2026)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Shape the Future of Intelligence

At Nexus Horizon Labs, we don't just predict the future; we architect it. We are looking for a visionary Senior AI Architect to join our elite R&D division dedicated to the technological landscape of 2026 and beyond. You will spearhead the development of next-generation generative models and autonomous systems.

Our mission is to redefine the boundaries of human-machine interaction through cutting-edge neural engineering. If you are passionate about pushing the boundaries of what is possible in AI, we want to hear from you.

Responsibilities

  • Architect and deploy scalable AI models for high-volume production environments with a focus on 2026 standards.
  • Lead the research and implementation of emerging paradigms in Large Language Models (LLMs) and multimodal AI.
  • Collaborate with cross-functional teams to integrate ethical AI frameworks and governance into core product pipelines.
  • Mentor junior engineers and data scientists, fostering a culture of innovation, resilience, and continuous learning.
  • Optimize existing neural architectures for reduced latency, increased throughput, and energy efficiency.
  • Stay ahead of the curve by analyzing emerging trends in AI hardware and software ecosystems.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • Minimum of 5 years of experience in designing and deploying production-level AI systems.
  • Proficiency in Python, PyTorch, TensorFlow, and GPU acceleration frameworks (CUDA, OpenCL).
  • Deep understanding of deep learning architectures, transformers, and reinforcement learning algorithms.
  • Strong problem-solving skills and a passion for solving complex, ambiguous technical challenges in real-time.
  • Demonstrated experience leading technical teams through architectural transitions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AI Architecture NLP GPU Computing Cloud Infrastructure Leadership

Ready to Take This Challenge?

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