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Information Technology 🏒 Full Time ⭐️ Verified

Senior Future-Ready AI Architect (Class of 2026)

Nexus Horizon AI
Austin
Estimated Salary
USD 180.000 – USD 240.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are seeking a visionary Senior Future-Ready AI Architect to help define the technological trajectory of 2026 and beyond. At Nexus Horizon AI, we are building the foundational systems for a new era of synthetic intelligence. If you are obsessed with scalability, ethics in AI, and the intersection of quantum computing and neural networks, we want to hear from you.

In this role, you won't just maintain existing systems; you will architect the next generation of autonomous agents capable of complex decision-making in unpredictable environments. You will work with a world-class team of engineers, ethicists, and futurists to solve problems that don't have textbook answers yet.

Why Join Us?
We offer a competitive equity package, fully remote-first culture, and the opportunity to shape the future of human-machine collaboration.

Responsibilities

  • Architect Next-Gen AI Models: Design and implement scalable neural architectures for large language models and autonomous agents.
  • System Optimization: Lead initiatives to optimize model inference speed and reduce computational costs for 2026-scale deployments.
  • Ethical AI Governance: Establish frameworks for responsible AI, ensuring bias mitigation and transparency in automated decision-making.
  • Quantum-Ready Integration: Research and prototype integration strategies between classical deep learning and emerging quantum computing paradigms.
  • Technical Mentorship: Guide junior engineers and data scientists in adopting cutting-edge methodologies and best practices.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 5+ years of professional experience in machine learning engineering, with at least 2 years in a leadership or architect role.
  • Core Skills: Deep proficiency in Python, PyTorch, and TensorFlow; extensive experience with MLOps and cloud infrastructure (AWS/GCP).
  • Language: Exceptional written and verbal communication skills; ability to explain complex technical concepts to non-technical stakeholders.
  • Mindset: A proactive problem-solver with a passion for exploring uncharted territories in AI development.

Required Skills

Python PyTorch TensorFlow MLOps Machine Learning Engineering AWS GCP Deep Learning NLP Cloud Architecture

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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