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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Architect (2026 Vision)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to define the future of technology?

Nexus Horizon Systems is seeking a visionary Senior AI & Quantum Architect to lead our breakthrough initiatives for the 2026 technology roadmap. We are building the infrastructure that will power the next decade of human-machine interaction.

In this pivotal role, you will bridge the gap between classical machine learning and emerging quantum computing paradigms. You will architect scalable systems, optimize neural networks for edge devices, and ensure our AI solutions are future-proof for the 2026 landscape.

Why join us? We offer competitive equity, remote-first flexibility, and the opportunity to work on projects that will shape the digital world of tomorrow.

Responsibilities

  • Architect Future-Proof Systems: Design and implement scalable AI architectures that integrate seamlessly with quantum computing protocols for the 2026 era.
  • Optimize Neural Networks: Enhance model performance and reduce latency for real-time applications using advanced optimization techniques.
  • Lead R&D Initiatives: Spearhead research projects focused on generative AI, reinforcement learning, and predictive analytics.
  • Collaborate Across Disciplines: Partner with software engineers, data scientists, and hardware specialists to deliver end-to-end AI solutions.
  • Ensure Ethical AI: Implement responsible AI frameworks to mitigate bias and ensure transparency in all deployed models.
  • Mentor Junior Talent: Guide the engineering team in adopting best practices for modern software development and AI deployment.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related technical field (or equivalent practical experience).
  • Experience: 5+ years of professional experience in machine learning, AI engineering, or data science.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and C++. Experience with quantum computing libraries (Qiskit, Cirq) is a strong plus.
  • Architecture: Deep understanding of distributed systems, cloud computing (AWS/Azure/GCP), and microservices architecture.
  • Problem Solving: Exceptional analytical skills with a proven track record of solving complex technical challenges.
  • Communication: Excellent verbal and written communication skills, with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Computing Quantum Computing System Architecture Data Science Agile SQL Docker Kubernetes

Ready to Take This Challenge?

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

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