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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Readiness Architect

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Horizon Labs is seeking a visionary Senior AI & Quantum Readiness Architect to lead our next-generation infrastructure strategy. In this pivotal role, you will bridge the gap between theoretical quantum advancements and practical AI deployment, ensuring our systems are future-proof and scalable for the decade ahead.

We are not just building software; we are architecting the future. If you possess a deep understanding of machine learning paradigms and a passion for quantum computing, we want to hear from you.

Responsibilities

  • Architect Future-Proof Solutions: Design and implement scalable AI architectures that are resilient against emerging quantum computing threats.
  • Strategic Roadmapping: Lead the strategic vision for technology adoption, specifically focusing on 2026 readiness and long-term scalability.
  • Cross-Functional Leadership: Collaborate with data scientists, engineers, and product managers to translate complex technical concepts into actionable business strategies.
  • Quantum Integration: Oversee the integration of quantum algorithms into existing machine learning pipelines where applicable.
  • Innovation Advocacy: Stay at the forefront of industry trends, specifically tracking advancements in AI and quantum computing to propose disruptive innovations.
  • Performance Optimization: Continuously monitor and optimize AI model performance and system throughput for high-volume environments.

Qualifications

  • Education: Master’s degree in Computer Science, Physics, Mathematics, or a related field; PhD is a plus.
  • Experience: 5+ years of experience in AI/ML architecture, cloud computing, or systems engineering.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with cloud platforms (AWS, GCP, or Azure).
  • Quantum Knowledge: Strong understanding of quantum computing principles and their potential impact on current cryptographic and computational models.
  • Leadership: Proven track record of leading high-performance engineering teams and mentoring junior developers.
  • Communication: Excellent ability to communicate complex technical strategies to non-technical stakeholders.

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Cloud Architecture Python TensorFlow System Design Leadership

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