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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Architect

Nexus Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

At Nexus Horizon Labs, we are not just building software for tomorrow; we are architecting the reality of 2026. We are seeking a visionary Future-Ready AI Architect to lead our next-generation neural infrastructure and quantum-integrated systems. In this pivotal role, you will define the architectural standards for our AI ecosystem, ensuring scalability, security, and ethical integrity as we move into the next decade.

We offer a competitive compensation package, equity packages, and the opportunity to work with a world-class team of researchers and engineers pushing the boundaries of what is possible.

Responsibilities

  • Design and deploy scalable, high-performance AI architectures for 2026 and beyond.
  • Integrate quantum computing protocols into existing machine learning pipelines.
  • Lead the research and implementation of Large Language Models (LLMs) and generative AI.
  • Establish best practices for AI ethics, bias mitigation, and data governance.
  • Collaborate with cross-functional teams to translate complex technical requirements into robust engineering solutions.
  • Optimize model inference and training times using distributed computing resources.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in software engineering, machine learning, or data science.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Hugging Face.
  • Strong understanding of neural networks, deep learning, and natural language processing.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Demonstrated ability to lead technical strategy and mentor junior engineers.

Required Skills

Artificial Intelligence Machine Learning Python Deep Learning Quantum Computing Cloud Architecture Docker Kubernetes AWS GCP

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