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Information Technology 🏒 Full Time ⭐️ Verified

Next-Gen AI Architect

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Join Nexus Horizon, a visionary leader in artificial intelligence, as we architect the technologies that will define the year 2026 and beyond. We are seeking a visionary Next-Gen AI Architect to lead the design and implementation of scalable, autonomous systems that push the boundaries of human-machine interaction.

In this role, you won't just maintain legacy systems; you will build the foundational infrastructure for the future. You will collaborate with a world-class team of data scientists, engineers, and futurists to deploy cutting-edge machine learning models that solve complex, real-world problems.

Why Join Us?

  • Shape the Future: Work on projects that are 3-5 years ahead of the market.
  • Top-Tier Compensation: Competitive salary and equity packages.
  • Remote-First Culture: Flexible working arrangements from anywhere in the US.

Responsibilities

  • Design and architect high-performance, scalable AI infrastructure capable of processing petabytes of data in real-time.
  • Lead the research and development of next-generation neural network architectures and generative AI models.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Optimize model inference and training pipelines to ensure 99.99% uptime and latency efficiency.
  • Define technical roadmaps and best practices for machine learning engineering within the organization.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specializing in Machine Learning and Artificial Intelligence.
  • Deep expertise in Python, TensorFlow, PyTorch, and Hugging Face libraries.
  • Proven track record of deploying large-scale AI models in production environments.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • PhD or Master’s degree in Computer Science, Data Science, or a related field is highly preferred.
  • Excellent communication skills, with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch Cloud Architecture Kubernetes Docker AWS AI Architecture Generative AI

Ready to Take This Challenge?

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