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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Tech Trends)

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

Job Description

We are Nexus Horizon Inc., a pioneer in next-generation autonomous intelligence systems. We are seeking a visionary Senior AI Architect to lead the development of the core models powering our 2026 roadmap. You will bridge the gap between cutting-edge research and scalable production engineering, defining how machines perceive and interact with the digital world in the coming decade.

Why Join Us? We are not just building software; we are architecting the future of human-AI collaboration. Our team is dedicated to pushing the boundaries of Generative AI, Reinforcement Learning, and Neural Symbolic Computing.

Responsibilities

  • Architect and implement high-performance Large Language Models (LLMs) and multimodal AI systems for the 2026 ecosystem.
  • Optimize model inference pipelines for sub-millisecond latency in real-time applications.
  • Design robust evaluation frameworks and metrics for AI safety and alignment.
  • Collaborate with cross-functional teams to integrate AI agents into complex enterprise workflows.
  • Research and prototype novel algorithms to advance the state-of-the-art in machine reasoning.
  • Ensure scalability and security of our AI infrastructure using cloud-native technologies.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 8+ years of professional experience in AI/ML engineering with at least 3 years leading model architecture teams.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of transformer architectures, fine-tuning techniques, and prompt engineering.
  • Experience with MLOps, Kubernetes, and vector databases (Pinecone, Milvus).
  • Strong background in statistics, linear algebra, and optimization theory.

Required Skills

Python PyTorch TensorFlow LLM Machine Learning MLOps Kubernetes Deep Learning AI Architecture Natural Language Processing

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