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Senior AI Architect (2026 Focus)

Quantum Horizons Systems
Austin
Estimated Salary
USD 160.000 – USD 230.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join the Architects of the 2026 AI Revolution.

Quantum Horizons Systems is pioneering the infrastructure for the next generation of Artificial Intelligence. We are seeking a visionary Senior AI Architect (2026 Focus) to design scalable, autonomous, and ethically aligned systems that will define the technological landscape of the coming decade.

In this role, you won't just maintain legacy systems; you will build the foundation for Next-Gen Neural Networks, optimizing for speed, intelligence, and scalability in a decentralized world.

Responsibilities

  • Architect Next-Gen Systems: Design and implement high-performance distributed AI architectures capable of supporting real-time autonomous decision-making.
  • Optimize Neural Compute: Lead the optimization of inference and training pipelines using cutting-edge techniques in model compression and hardware acceleration.
  • Define the 2026 Roadmap: Collaborate with C-suite executives to define the technical trajectory and strategic goals for our AI products through 2026 and beyond.
  • Ensure Ethical AI: Implement rigorous safety protocols and bias mitigation strategies to ensure AI systems align with global ethical standards.
  • Cloud & Edge Integration: Architect seamless integrations between cloud-native environments and edge computing nodes for global deployment.
  • Team Mentorship: Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field.
  • Experience: 7+ years of experience in AI/ML engineering, with at least 3 years in a lead or architect role.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Ray).
  • AI Specialization: Proven track record of working with Large Language Models (LLMs), Transformers, and Generative AI architectures.
  • System Design: Strong background in system design patterns, microservices, and cloud infrastructure (AWS, GCP, or Azure).
  • Leadership: Exceptional communication skills with the ability to translate complex technical concepts into strategic business value.

Required Skills

Python PyTorch TensorFlow Kubernetes Machine Learning Distributed Systems AWS GCP Cloud Architecture AI/ML NLP Generative AI System Design Leadership

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