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AI Architect (2026 Vision) - San Francisco

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

We are at the precipice of a new era in artificial intelligence. Nexus Horizon is seeking a visionary AI Architect (2026 Vision) to lead our next-generation generative intelligence initiatives. You will not just build models; you will define the architectural standards for the future of autonomous agents and large-scale neural networks.

In this role, you will bridge the gap between theoretical research and production-grade systems, ensuring our AI solutions are scalable, ethical, and transformative.

Responsibilities

  • Design and implement cutting-edge Generative AI models and Large Language Models (LLMs) tailored for enterprise scalability.
  • Optimize model inference latency and reduce computational costs through advanced quantization and pruning techniques.
  • Lead the architecture for autonomous AI agents capable of complex decision-making workflows.
  • Collaborate with cross-functional teams to integrate AI capabilities into real-world products and services.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Ensure robust data pipelines and implement rigorous testing strategies for model reliability.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of professional experience building and deploying production machine learning systems.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven track record of working with LLMs, Transformers, and RAG (Retrieval-Augmented Generation) architectures.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow LLM Machine Learning Deep Learning NLP AWS Docker Kubernetes

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