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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Architect - 2026 Vision

Apex Future Systems
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Senior AI & Quantum Architect to lead the technical roadmap for the year 2026 and beyond. At Apex Future Systems, we are not just building software; we are engineering the infrastructure of tomorrow. You will be at the forefront of integrating artificial intelligence with quantum computing paradigms to solve complex, unsolvable problems today.

In this high-impact role, you will define the architectural standards for our next-generation platforms, ensuring scalability, security, and innovation. If you have a passion for the future and the technical prowess to build it, we want to hear from you.

Responsibilities

  • Define the 2026 Roadmap: Lead the strategic planning and technical vision for AI and quantum integration initiatives.
  • System Architecture: Design resilient, distributed systems capable of handling petabyte-scale data processing in real-time.
  • Technology Stack Leadership: Evaluate and implement cutting-edge frameworks, focusing on Agentic AI and quantum-ready cloud environments.
  • Cross-Functional Collaboration: Work closely with product, engineering, and research teams to translate complex business requirements into technical blueprints.
  • Talent Development: Mentor senior engineers and architects, fostering a culture of continuous learning and innovation.
  • Security & Compliance: Oversee enterprise-grade security protocols to protect intellectual property and user data.

Qualifications

  • Education: Master’s degree in Computer Science, Physics, or a related field (PhD preferred).
  • Experience: 10+ years of experience in software architecture, with at least 5 years in AI/ML or high-performance computing.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and quantum computing libraries (Qiskit, Cirq).
  • Cloud Mastery: Proficiency in AWS, Azure, or Google Cloud Platform with a focus on serverless and containerized architectures.
  • Problem Solving: Demonstrated ability to architect solutions for ambiguous, large-scale problems.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Quantum Computing System Architecture Python Cloud Computing AWS TensorFlow Leadership

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