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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Readiness Architect

Nexus Future Technologies
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are on the cusp of a technological revolution. At Nexus Future Technologies, we are not just building for today; we are architecting the infrastructure of 2026 and beyond. We are seeking a visionary Senior AI & Quantum Readiness Architect to lead our transition into the post-silicon era.

In this pivotal role, you will define the architectural standards for quantum-classical hybrid systems, ensuring our AI models are scalable, secure, and future-proof. You will work at the intersection of machine learning, quantum computing, and cloud infrastructure, collaborating with top-tier engineers to solve problems that were previously thought impossible.

If you are passionate about the future of computing and want to shape the landscape of 2026, we want to hear from you.

Responsibilities

  • Architect Quantum-Ready Solutions: Design scalable system architectures that integrate classical AI with emerging quantum computing paradigms.
  • Future-Proof Security: Develop and implement quantum-resistant encryption protocols and cybersecurity strategies.
  • AI Infrastructure Leadership: Oversee the deployment of high-performance computing clusters for large-scale AI training.
  • Strategic Roadmapping: Define the technical roadmap for our 2026 product suite, identifying emerging technologies and integration points.
  • Team Mentorship: Lead a team of system engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Stakeholder Communication: Translate complex technical concepts into clear strategies for executive leadership and clients.

Qualifications

  • Education: Master’s degree in Computer Science, Physics, or a related field (PhD preferred).
  • Experience: 10+ years of experience in system architecture, with at least 5 years in AI or Machine Learning engineering.
  • Technical Skills: Proficiency in Python, Rust, or Go; experience with cloud platforms (AWS, GCP, Azure) and containerization (Kubernetes).
  • Quantum Knowledge: Familiarity with quantum computing frameworks (e.g., Qiskit, Cirq) or quantum algorithms.
  • Problem Solving: Proven ability to tackle complex, unstructured problems and deliver robust solutions.
  • Leadership: Demonstrated experience leading cross-functional teams in a fast-paced, agile environment.

Required Skills

Python Rust Kubernetes Quantum Computing AI Architecture Cloud Infrastructure System Design Machine Learning

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