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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech Lead: AI & Quantum Architect

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 320.000 – USD 450.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

At Nexus Horizon Solutions, we are building the infrastructure for the year 2026 and beyond. We are seeking a visionary Future Tech Lead: AI & Quantum Architect to spearhead the integration of next-generation artificial intelligence with emerging quantum computing paradigms. This is a high-impact role for a technical leader who wants to define the standard for intelligent systems.

You will be responsible for architecting scalable, secure, and intelligent platforms that leverage the full potential of quantum-enhanced machine learning. We are looking for someone who thrives on ambiguity and is driven by the challenge of solving problems that are currently considered computationally impossible.

Responsibilities

  • Design and implement cutting-edge hybrid quantum-classical algorithms tailored for enterprise-scale applications.
  • Lead the technical vision for AI infrastructure, ensuring scalability and reliability for 2026 operational demands.
  • Collaborate with cross-functional product teams to translate complex business requirements into robust technical roadmaps.
  • Mentor and develop a team of top-tier engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Establish best practices for data governance, model explainability, and ethical AI deployment.
  • Pilot and evaluate emerging quantum hardware and cloud-based AI services to maintain a competitive edge.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, or a related STEM field with a focus on AI or Quantum Mechanics.
  • 10+ years of progressive experience in software engineering, with at least 5 years in a leadership capacity.
  • Deep expertise in machine learning frameworks (TensorFlow, PyTorch) and quantum programming libraries (Qiskit, Cirq, PennyLane).
  • Strong background in distributed systems, cloud architecture (AWS/Azure/GCP), and high-performance computing.
  • Proven ability to communicate complex technical concepts to non-technical stakeholders.
  • Experience with large language models (LLMs) and generative AI technologies.

Required Skills

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

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