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Lead Architect: Quantum & AI Integration (2026 Vision)

OmniFuture Systems
Seattle
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
6 Juni 2026
Deadline
6 Jun 2027

Job Description

The Future is Now. OmniFuture Systems is on a mission to define the technological landscape of 2026 and beyond. We are seeking a visionary Lead Architect: Quantum & AI Integration to spearhead the development of next-generation computing paradigms.

In this pivotal role, you will bridge the gap between classical artificial intelligence and emerging quantum computing architectures. You won't just be maintaining current systems; you will be architecting the foundational layers that will power the enterprise of tomorrow. If you are a forward-thinking technologist ready to leave a legacy in the fabric of the future, we want to hear from you.

Why Join Us?

  • Forward-Thinking Culture: We prioritize radical innovation over incremental updates.
  • Impact: Your work will directly influence the trajectory of AI and quantum computing for the next decade.
  • Competitive Compensation: A lucrative salary package reflecting the high-stakes nature of this role.

Responsibilities

  • Architect Quantum-AI Ecosystems: Design and implement hybrid neural networks that leverage quantum processing units (QPUs) to solve complex optimization problems.
  • Strategic Roadmapping: Define the technical roadmap for systems integration leading up to the 2026 deployment cycle, ensuring scalability and resilience.
  • Cross-Functional Leadership: Collaborate with data scientists, physicists, and software engineers to translate theoretical research into production-ready code.
  • Performance Optimization: Continuously refine algorithms to maximize computational efficiency and minimize latency in high-stakes environments.
  • Research & Development: Stay at the forefront of industry trends, evaluating emerging quantum hardware and software stacks.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, Applied Mathematics, or a related technical field.
  • Experience: Minimum of 8-10 years of experience in software architecture, with a focus on AI/ML or high-performance computing.
  • Technical Skills: Proficiency in Python, C++, TensorFlow, PyTorch, and familiarity with quantum SDKs such as Qiskit or Cirq.
  • Visionary Mindset: Demonstrated ability to think beyond current constraints and conceptualize long-term technical solutions.
  • Leadership: Proven track record of leading engineering teams through complex architectural transitions.

Required Skills

Quantum Computing AI Machine Learning Python C++ System Architecture Leadership Cloud Computing TensorFlow Qiskit

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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