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Information Technology 🏒 Full Time ⭐️ Verified

AI & Quantum Architect (Project 2026)

NexGen Systems Inc.
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

NexGen Systems Inc. is at the forefront of the technological revolution. As we accelerate towards our strategic goal of Project 2026, we are seeking a visionary AI & Quantum Architect to lead our research and development efforts. In this role, you will design the architectural backbone for our next-generation computational intelligence platform, bridging the gap between classical machine learning and emerging quantum computing paradigms.

Our ideal candidate is a technical thought leader who thrives in ambiguity and is passionate about solving the world's most complex problems. You will define the technical roadmap, mentor engineering talent, and ensure our infrastructure is scalable, secure, and future-proof.

Responsibilities

  • Design and implement scalable, hybrid AI/Quantum architectures for the Project 2026 roadmap.
  • Lead the technical strategy for integrating quantum algorithms into cloud-native environments.
  • Mentor senior engineering teams and establish best practices for distributed systems and machine learning operations (MLOps).
  • Conduct rigorous performance analysis, optimization, and debugging of high-throughput data pipelines.
  • Collaborate with product managers and data scientists to translate abstract concepts into executable technical specifications.
  • Ensure system security, fault tolerance, and compliance with industry standards.
  • Stay abreast of the latest advancements in quantum hardware and AI model deployment.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field.
  • 10+ years of experience in software architecture, with at least 5 years in AI/ML or Quantum computing.
  • Deep expertise in Python, C++, and quantum computing frameworks (e.g., Qiskit, Cirq, PennyLane).
  • Strong proficiency in AI/ML libraries (TensorFlow, PyTorch) and cloud platforms (AWS, Azure, or GCP).
  • Proven track record of leading cross-functional engineering teams and delivering complex projects on time.
  • Excellent communication skills, with the ability to articulate technical concepts to non-technical stakeholders.
  • Demonstrated ability to work in fast-paced, agile environments.

Required Skills

Python Quantum Computing Machine Learning Cloud Architecture System Design TensorFlow AWS Leadership Data Structures Algorithms

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