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Generative AI Architect | Shaping the 2026 Future

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

We are looking for a visionary Generative AI Architect to join Nexus Horizon Labs and lead the charge into the 2026 technology era. As a pioneer in next-generation artificial intelligence, you will design and deploy state-of-the-art Large Language Models (LLMs) that redefine human-machine interaction. If you are passionate about pushing the boundaries of what is possible with AI, scalable infrastructure, and ethical data usage, we want to meet you.

Why Join Us?

  • Work on cutting-edge research that defines the future of tech.
  • Competitive equity package and comprehensive benefits.
  • Flexible remote-first culture with a hub in the heart of SF.

Responsibilities

  • Architect and implement scalable generative AI pipelines and large-scale model training infrastructures.
  • Research and integrate novel deep learning architectures, including transformers and diffusion models.
  • Optimize model inference for low-latency, high-throughput production environments.
  • Collaborate with cross-functional teams (Product, Engineering, Legal) to ensure responsible AI deployment.
  • Mentor junior engineers and data scientists on advanced AI methodologies.
  • Stay ahead of industry trends to drive innovation in AI capabilities.

Qualifications

  • PhD or MS in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven track record of deploying LLMs (e.g., GPT, LLaMA, BERT) in production.
  • Strong understanding of NLP, prompt engineering, and RAG (Retrieval-Augmented Generation) architectures.
  • Excellent communication skills and the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Generative AI Machine Learning Deep Learning Python PyTorch NLP LLMs Cloud Computing TensorFlow Natural Language Processing

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