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Information Technology 🏒 Full Time ⭐️ Verified

AI Architect – 2026 Horizon Initiative

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to shape the technological landscape of 2026 and beyond? Nexus Future Labs is seeking a visionary AI Architect to lead our 2026 Horizon Initiative. In this pivotal role, you will architect the core systems that will define the next generation of human-machine interaction and autonomous decision-making.

We are looking for a pioneer who isn't just building for today, but designing the infrastructure for tomorrow. You will work at the intersection of Neural Networks, Quantum Computing, and Edge AI, ensuring our solutions are scalable, ethical, and future-proof.

Responsibilities

  • Design and deploy scalable, high-performance AI architectures for the 2026 strategic roadmap.
  • Lead the migration of legacy machine learning models to next-gen transformer architectures.
  • Collaborate with quantum computing researchers to integrate hybrid quantum-classical algorithms.
  • Mentor senior engineers and foster a culture of innovation and technical excellence.
  • Optimize inference latency and resource efficiency for real-time processing on edge devices.
  • Define technical standards and best practices for the 2026 AI infrastructure stack.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • 5+ years of experience in AI/ML engineering, with a specific focus on large language models (LLMs) and generative AI.
  • Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Ray).
  • Deep understanding of quantum computing principles and hybrid quantum-classical algorithms.
  • Proven track record of leading technical teams and delivering complex projects on aggressive timelines.
  • Strong communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow Kubernetes Quantum Computing System Architecture Leadership Big Data

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