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Senior AI Architect | 2026 Vision

Apex Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Apex Horizon Labs as our Senior AI Architect and help define the technological landscape of 2026. We are not just building software; we are architecting the future of artificial general intelligence. In this pivotal role, you will lead the research and implementation of next-generation neural architectures, ensuring our systems are scalable, ethical, and revolutionary.

We are looking for a visionary leader who is passionate about the intersection of deep learning, ethical AI, and large-scale cloud infrastructure. If you are ready to push the boundaries of what is possible in machine learning, this is your stage.

Responsibilities

  • Lead the design and deployment of proprietary Large Language Models (LLMs) and generative AI frameworks.
  • Architect robust, fault-tolerant inference pipelines capable of handling millions of concurrent requests.
  • Collaborate with cross-functional teams to integrate AI models into real-world applications and products.
  • Establish best practices for model training, fine-tuning, and evaluation metrics.
  • Mentor junior engineers and researchers, fostering a culture of innovation and continuous learning.
  • Research and evaluate emerging technologies in the AI space to maintain a competitive edge.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 7+ years of experience in machine learning, deep learning, or artificial intelligence.
  • Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of deploying scalable AI models in production environments.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS Kubernetes NLP Cloud Architecture MLOps

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