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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Quantum Integration Architect (2026 Vision)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the technological foundation of 2026 and beyond? Nexus Horizon Systems is seeking a visionary Senior AI & Quantum Integration Architect to lead our next-generation research division. We are not just building software; we are engineering the future of intelligent systems.

In this pivotal role, you will bridge the gap between emerging quantum computing capabilities and practical deep learning applications. You will define the architectural standards that will power our enterprise clients for the next decade.

Key Highlights:

  • Shape the roadmap for AGI (Artificial General Intelligence) integration.
  • Work with state-of-the-art hardware and quantum simulators.
  • Competitive compensation package with equity options.

Responsibilities

  • Design and implement scalable machine learning architectures tailored for future computing environments.
  • Lead the integration of quantum algorithms into cloud-based AI workflows.
  • Define technical strategies to ensure system longevity and scalability for 2026 standards.
  • Collaborate with cross-functional teams to translate complex research into commercial products.
  • Mentor and guide junior architects and data scientists in best practices for future-tech development.
  • Conduct risk assessments and performance optimization for high-volume AI models.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Expert proficiency in Python, TensorFlow, PyTorch, and quantum computing frameworks (Qiskit, Cirq).
  • Strong background in distributed systems and cloud infrastructure (AWS, GCP, Azure).
  • Demonstrated experience in leading large-scale technical projects from conception to deployment.
  • Experience with natural language processing (NLP) and large language models (LLMs).
  • Master's degree in Computer Science, Physics, or a related technical field is preferred.

Required Skills

AI Machine Learning Quantum Computing Python Cloud Architecture Deep Learning System Design

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