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Senior AI & Quantum Integration Architect

Apex Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Welcome to Apex Future Tech, a pioneer in next-generation computing solutions. We are seeking a visionary Senior AI & Quantum Integration Architect to lead our research and development division. In this pivotal role, you will be at the forefront of bridging the gap between classical artificial intelligence and emerging quantum computing paradigms to solve complex, unsolvable problems of tomorrow.

You will define the architectural vision for systems designed to operate effectively in the era of 2026 and beyond, ensuring scalability, security, and performance in a decentralized world.

Responsibilities

  • Architect and design scalable, high-performance AI systems optimized for future quantum hardware architectures.
  • Lead the research, prototyping, and implementation of hybrid quantum-classical algorithms.
  • Define the technical roadmap for our 2026 vision, ensuring alignment with industry-leading standards.
  • Mentor and lead a team of senior data scientists, ML engineers, and quantum researchers.
  • Collaborate with cross-functional stakeholders to translate business requirements into cutting-edge technical solutions.
  • Optimize data pipelines for edge computing and decentralized networks to support real-time processing.
  • Ensure system security, data integrity, and compliance with emerging global tech regulations.

Qualifications

  • 10+ years of experience in software engineering, machine learning architecture, or quantum computing research.
  • Master’s degree in Computer Science, Physics, Mathematics, or a related field; PhD preferred.
  • Proven expertise in Python, TensorFlow, PyTorch, and quantum frameworks (Qiskit, Cirq, or similar).
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and microservices.
  • Exceptional leadership skills with a track record of managing technical teams and driving innovation.
  • Excellent problem-solving abilities and the capacity to work in ambiguous, high-stakes environments.
  • Strong communication skills to convey complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Python TensorFlow PyTorch Distributed Systems Cloud Architecture Leadership R&D Quantum Algorithms

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