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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Readiness Architect

Nexus Horizon Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Architecting the Future of Intelligence

Nexus Horizon Innovations is at the forefront of the next technological revolution. As we prepare for the paradigm shifts of 2026 and beyond, we are seeking a visionary Senior AI & Quantum Readiness Architect to lead our infrastructure strategy. This is not just about coding; it is about defining the blueprint for how artificial intelligence and quantum computing will coexist and accelerate business value.

You will work in a high-performance environment where the impossible becomes the baseline. If you are passionate about the intersection of neural networks, quantum algorithms, and scalable cloud architecture, this is your opportunity to shape the industry.

Responsibilities

  • Design Future-Proof Architecture: Lead the architectural design of hybrid AI systems that leverage classical machine learning and prepare for the integration of quantum computing capabilities.
  • Optimize Neural Networks: Engineer and fine-tune large-scale neural networks to ensure they can handle the increased complexity and data throughput required by 2026 standards.
  • Quantum Integration Strategy: Develop roadmaps and proof-of-concepts for integrating quantum processors with traditional cloud infrastructure.
  • Performance Engineering: Conduct rigorous stress testing on AI models to ensure zero-latency response times and high availability in distributed environments.
  • Team Leadership: Mentor a team of junior data scientists and engineers, fostering a culture of innovation and continuous learning.
  • Security & Compliance: Implement advanced cryptographic protocols and data governance frameworks suitable for next-generation AI models.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Physics, Mathematics, or a related field.
  • Experience: Minimum of 8+ years of experience in software engineering, specifically in AI/ML infrastructure and cloud architecture.
  • Technical Stack: Deep proficiency in Python, TensorFlow, PyTorch, and experience with quantum computing libraries (e.g., Cirq, Qiskit).
  • Cloud Mastery: Extensive experience designing solutions on AWS, Azure, or Google Cloud Platform (GCP) with a focus on serverless and containerized environments.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems and translate theoretical research into practical applications.
  • Communication: Exceptional ability to communicate complex technical concepts to stakeholders and non-technical teams.

Required Skills

Python TensorFlow PyTorch Quantum Computing Cloud Architecture AWS Docker Kubernetes Machine Learning Deep Learning System Design

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