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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - 2026 Vision

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Are you ready to define the landscape of Artificial Intelligence for the 2026 era? Nexus Horizon is seeking a visionary Lead AI Architect to spearhead the development of next-generation quantum-augmented neural networks. We are building the infrastructure that will power the future, and we need a technical mastermind to lead the charge.

In this pivotal role, you will bridge the gap between theoretical AI research and scalable production engineering. You will be responsible for architecting systems that are not only robust but also future-proof, anticipating the computational needs of the mid-2020s and beyond.

Responsibilities

  • Architect and deploy scalable, high-performance AI frameworks tailored for 2026 technological standards.
  • Lead a cross-functional team of machine learning engineers and data scientists in research and development.
  • Optimize complex algorithms for quantum computing integration and edge devices.
  • Establish best practices for data security, model governance, and ethical AI implementation.
  • Collaborate with C-level executives to translate business objectives into technical roadmaps.
  • Mentor junior engineers, fostering a culture of continuous innovation and technical excellence.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Minimum of 8+ years of experience in AI architecture, machine learning, and deep learning systems.
  • Proficiency in Python, PyTorch, TensorFlow, and experience with quantum computing libraries (e.g., Qiskit).
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and microservices.
  • Demonstrated leadership experience in managing technical teams and delivering complex projects on time.
  • Excellent problem-solving skills with a focus on scalability and future-proofing technology stacks.

Required Skills

Python TensorFlow PyTorch Quantum Computing AWS Azure Machine Learning Distributed Systems Leadership

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