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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Architect (2026 Horizon)

Nexus Horizon Tech
Austin
Estimated Salary
USD 140.000 – USD 190.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are looking for a visionary Future-Ready AI Architect to define the technological roadmap for 2026 and beyond. As we stand on the precipice of the next industrial revolution, your expertise in generative AI, quantum computing, and human-machine interfaces will be paramount. You won't just maintain systems; you will architect the very fabric of our digital future.

In this role, you will bridge the gap between theoretical AI capabilities and practical, scalable solutions that drive business growth. You will be responsible for identifying emerging technologies and integrating them into our core infrastructure to ensure we remain leaders in the industry.

Responsibilities

  • Design and implement scalable AI architectures specifically tailored for the 2026 era.
  • Lead the R&D efforts in Generative AI and Large Language Models (LLMs).
  • Collaborate with cross-functional teams to integrate next-gen technologies into legacy systems.
  • Establish ethical guidelines and safety protocols for autonomous decision-making systems.
  • Conduct feasibility studies to anticipate and prepare for technological disruptions.
  • Oversee the migration to cloud-native AI environments.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • Extensive experience with Python, TensorFlow, PyTorch, and C++.
  • Deep understanding of Neural Networks, Deep Learning, and Natural Language Processing.
  • Strong leadership skills with a proven track record of driving innovation and managing technical teams.
  • Experience with Kubernetes, Docker, and serverless architectures.
  • Ability to communicate complex technical concepts to non-technical stakeholders effectively.

Required Skills

Python AI Machine Learning Neural Networks System Architecture Cloud Computing Generative AI Leadership TensorFlow PyTorch

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