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Lead Generative AI Architect (2026 Vision)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Be the Architect of Tomorrow.

Nexus Horizon is pioneering the next generation of autonomous intelligence. As a Lead Generative AI Architect, you won't just write code; you will define the technical frameworks and ethical standards that will power the world in 2026 and beyond. We are looking for a visionary engineer to lead our cutting-edge AI research division.

Why Join Us?

Work with state-of-the-art Large Language Models, Quantum-ready algorithms, and sustainable computing solutions. We offer a competitive package and a culture that rewards innovation over convention.

Responsibilities

  • Architect and deploy scalable Large Language Model (LLM) infrastructure.
  • Lead the research and implementation of multimodal AI agents capable of autonomous decision-making.
  • Optimize neural network inference for edge computing devices and 6G networks.
  • Establish best practices for Responsible AI, ensuring fairness, transparency, and safety in automated systems.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer and enterprise products.
  • Mentor junior engineers and conduct technical research to stay ahead of the 2026 technology curve.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • 7+ years of experience in machine learning engineering with a focus on NLP and Generative AI.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Strong understanding of transformer architectures and fine-tuning methodologies.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, high-impact environment.

Required Skills

Generative AI Large Language Models NLP Python PyTorch TensorFlow Kubernetes AWS Machine Learning Engineering

Ready to Take This Challenge?

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