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Senior AI & Quantum Architect (Project 2026)

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to architect the future?

At Apex Future Systems, we are leading the Project 2026 Initiative, a groundbreaking effort to integrate next-generation AI with quantum-ready infrastructure. We are looking for a visionary Senior AI Architect to spearhead the development of our proprietary predictive models and autonomous systems.

As a key member of our elite R&D team, you will define the technological roadmap that bridges the gap between today's silicon and tomorrow's quantum reality. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.

Responsibilities

  • Design and deploy scalable machine learning pipelines for high-velocity data environments.
  • Lead the architectural design of hybrid AI/Quantum computing frameworks.
  • Collaborate with cross-functional teams to translate business requirements into technical blueprints.
  • Optimize neural network architectures for reduced latency and increased throughput.
  • Mentor junior engineers and foster a culture of innovation and technical excellence.
  • Conduct rigorous code reviews and ensure adherence to security and compliance standards.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep proficiency in Python, C++, and Rust.
  • Experience with quantum computing libraries (Qiskit, Cirq) or advanced cloud infrastructure (AWS, GCP, Azure).
  • Strong understanding of distributed systems, microservices, and containerization (Docker, Kubernetes).
  • Proven track record of leading technical teams in a fast-paced, high-growth environment.

Required Skills

Python Machine Learning Quantum Computing Cloud Architecture Docker Kubernetes AWS AI Neural Networks Distributed Systems

Ready to Take This Challenge?

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