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Lead Quantum-AI Architect 2026

OmniFuture Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the future? OmniFuture Systems is seeking a visionary Lead Quantum-AI Architect to define the technological landscape of 2026 and beyond. In this pivotal role, you will bridge the gap between cutting-edge quantum computing and practical artificial intelligence applications. We are not just building software; we are building the infrastructure of tomorrow.

As a leader in our engineering division, you will spearhead the development of next-generation neural networks, optimize complex algorithms for quantum hardware, and mentor a team of elite engineers. If you are passionate about pushing the boundaries of what is possible in tech, this is your opportunity to make a lasting impact.

Responsibilities

  • Design and implement scalable AI/ML frameworks tailored for quantum processors and next-gen hardware.
  • Lead the architecture of high-performance predictive analytics models to drive business intelligence.
  • Collaborate with cross-functional teams to integrate quantum solutions into existing cloud ecosystems.
  • Establish best practices for ethical AI, data privacy, and quantum security protocols.
  • Mentor and guide junior engineers and data scientists in advanced neural network techniques.
  • Conduct research and proof-of-concepts for emerging technologies to maintain a competitive edge.

Qualifications

  • Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, Quantum Physics, or a related technical field.
  • 10+ years of professional experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and quantum computing libraries (e.g., Qiskit, Cirq).
  • Proven track record of leading technical teams and managing large-scale projects.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and data pipelines.
  • Excellent communication skills, with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python TensorFlow PyTorch Quantum Computing Machine Learning Cloud Architecture Data Science Leadership System Design AWS GCP

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