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Information Technology 🏒 Full Time ⭐️ Verified

Next-Gen AI Architect

Horizon Nexus
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the systems of tomorrow? Horizon Nexus is seeking a visionary Next-Gen AI Architect to lead the development of autonomous, adaptive intelligence systems. We are not just building software; we are engineering the future state of human-machine collaboration. In this pivotal role, you will define the architectural blueprint for our flagship 2026 product lines, integrating cutting-edge generative models with real-time decision engines. You will work in a high-performance environment with top-tier talent, pushing the boundaries of what is possible in predictive analytics and neural network optimization. Join us in shaping the digital landscape of the near future.

Responsibilities

  • Design and deploy scalable, fault-tolerant neural network architectures for autonomous decision-making systems.
  • Lead the technical strategy for integrating generative AI models into legacy infrastructure.
  • Collaborate with cross-functional teams of data scientists, hardware engineers, and product managers.
  • Optimize model performance for low-latency inference in edge computing environments.
  • Establish best practices for MLOps, data governance, and AI safety protocols.
  • Conduct code reviews and mentor junior engineers to foster a culture of technical excellence.
  • Research emerging technologies, specifically focusing on quantum computing applications for AI.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 5 years of professional experience in designing large-scale AI systems.
  • Deep proficiency in Python, TensorFlow, PyTorch, and C++.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of delivering production-ready AI solutions in high-pressure environments.
  • Excellent communication skills, with the ability to translate complex technical concepts for diverse stakeholders.
  • Familiarity with ethical AI frameworks and bias mitigation techniques.

Required Skills

Python TensorFlow PyTorch C++ MLOps Docker Kubernetes AWS GCP Generative AI Neural Networks Edge Computing System Architecture Machine Learning

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