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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Architect (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to shape the technological landscape of the future? Nexus Future Labs is seeking a visionary Senior AI & Quantum Architect to lead our cutting-edge initiatives for the 2026 roadmap. In this pivotal role, you will design and deploy next-generation artificial intelligence systems that redefine industry standards.

We are looking for a thought leader who thrives in ambiguity and is passionate about the convergence of Generative AI, Quantum Computing, and Cloud Infrastructure. If you want to build the infrastructure that powers the future, we want to hear from you.

Responsibilities

  • Architect Next-Gen AI Systems: Design scalable, fault-tolerant machine learning pipelines and quantum-ready algorithms for enterprise applications.
  • Lead Research & Development: Spearhead the exploration of emerging technologies, specifically focusing on the 2026 technology stack, including advanced Large Language Models (LLMs) and neuromorphic computing.
  • Optimization & Performance: Drive model optimization strategies to reduce latency and improve inference speeds on distributed cloud architectures.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and engineers to translate complex business requirements into technical architecture.
  • Mentorship: Guide a team of high-potential engineers, fostering a culture of innovation, code excellence, and continuous learning.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, Physics, or a related technical field.
  • Experience: 5+ years of professional experience in software engineering, machine learning, or quantum computing research.
  • Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and experience with quantum computing frameworks (e.g., Qiskit, Cirq).
  • Cloud Mastery: Deep understanding of AWS, Azure, or Google Cloud Platform (GCP) for deploying large-scale AI workloads.
  • Problem Solving: Exceptional ability to solve complex, ambiguous problems with innovative, data-driven solutions.

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Python Cloud Architecture Generative AI Neural Networks AWS TensorFlow

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