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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Nexus Horizon Corp
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the future of intelligent systems?

Nexus Horizon Corp is at the forefront of the 2026 technological revolution. We are seeking a visionary Senior AI Architect to lead the design and implementation of next-generation autonomous systems. In this role, you will define the core neural frameworks that will power the enterprise of tomorrow. If you possess a deep understanding of AGI (Artificial General Intelligence) and a passion for pushing the boundaries of what is possible, we want to meet you.

Join a team of elite engineers and researchers dedicated to solving the most complex challenges in machine learning, quantum computing integration, and predictive analytics. You will have the autonomy to innovate and the resources to scale your ideas into reality.

Responsibilities

  • Design and deploy scalable, high-performance AI architectures for enterprise-grade applications.
  • Lead R&D initiatives focused on the 2026 roadmap, including LLM optimization and multimodal learning models.
  • Collaborate with cross-functional teams to integrate AI solutions into existing product ecosystems.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Define best practices for data privacy, ethical AI, and model explainability.
  • Evaluate and select cutting-edge hardware accelerators (GPUs, TPUs, Quantum processors) for training large models.
  • Conduct rigorous testing and validation to ensure system reliability and performance under load.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 8+ years of experience in machine learning engineering, with at least 3 years in a senior architecture role.
  • Expert proficiency in Python, PyTorch, TensorFlow, and C++.
  • Deep understanding of Deep Learning principles, Natural Language Processing (NLP), and Computer Vision.
  • Experience with distributed systems and cloud infrastructure (AWS, GCP, or Azure).
  • Proven track record of shipping production-ready AI models.
  • Strong problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Computing Distributed Systems AI Architecture C++ AWS GCP

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