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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Visionary

Nexus Horizon AI
San Francisco
Estimated Salary
USD 170.000 – USD 240.000
New
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

We are not merely building software for today; we are engineering the foundational infrastructure for the year 2026. At Nexus Horizon AI, we are at the forefront of the generative intelligence revolution, seeking a visionary Senior AI Architect to lead our next-generation research initiatives.

In this role, you will design and deploy autonomous AI agents capable of reasoning, learning, and interacting within complex digital ecosystems. If you are passionate about pushing the boundaries of what is possible in machine learning and want to shape the future of the industry, we want to hear from you.

Why Join Us?

  • Work on cutting-edge Large Language Models (LLMs) and multimodal systems.
  • Competitive compensation package including equity and performance bonuses.
  • Flexible remote-first culture with access to top-tier tech infrastructure.

Responsibilities

  • Lead the architectural design of next-generation Large Language Models (LLMs) and multimodal systems.
  • Optimize neural network inference for low-latency, high-throughput environments.
  • Collaborate with cross-functional teams to integrate AI solutions into production workflows.
  • Research and implement novel techniques in reinforcement learning and self-supervised learning.
  • Mentor junior engineers and establish best practices for scalable AI infrastructure.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in machine learning, deep learning, or AI research.
  • Expert proficiency in Python, PyTorch, and CUDA programming.
  • Strong understanding of distributed systems and cloud-native ML infrastructure (AWS/GCP).
  • Experience with MLOps tools and deployment pipelines (Kubernetes, Docker).

Required Skills

Python PyTorch CUDA Machine Learning Deep Learning MLOps AWS Kubernetes AI Architecture

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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