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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: Project 2026

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

Job Description

Are you ready to architect the digital landscape of tomorrow? Nexus Horizon AI is seeking a visionary Senior AI Architect to spearhead the Project 2026 initiative. This is not just a job; it is an opportunity to define the core of the next generation of intelligent systems. We are building the autonomous frameworks that will power enterprise solutions in the year 2026 and beyond.

In this high-impact role, you will work at the intersection of machine learning, distributed systems, and strategic foresight. You will lead a world-class team in developing scalable, safe, and efficient AI models designed to revolutionize human-computer interaction.

Responsibilities

  • Lead the architectural design and implementation of the 2026 Roadmap AI ecosystem, ensuring scalability and robustness.
  • Optimize large-scale neural networks for low-latency inference in production environments.
  • Collaborate with cross-functional squads to integrate AI capabilities into next-gen software products.
  • Research and prototype cutting-edge generative AI models and reinforcement learning agents.
  • Establish best practices for MLOps, data governance, and model explainability.
  • Drive technical decision-making and mentor junior engineers to foster a culture of innovation.

Qualifications

  • Master’s degree in Computer Science, Mathematics, or a related technical field (Ph.D. preferred).
  • 5+ years of professional experience in AI/ML engineering, with a focus on deep learning frameworks (PyTorch, TensorFlow).
  • Proven track record of deploying large language models or generative AI systems to production.
  • Strong understanding of distributed computing, cloud infrastructure (AWS/Azure/GCP), and containerization.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous startup environment.
  • Experience with AI ethics, bias mitigation, and safety protocols.

Required Skills

Machine Learning Deep Learning Python PyTorch TensorFlow Distributed Systems MLOps Cloud Computing AI Architecture Natural Language Processing

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