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Information Technology 🏒 Full Time ⭐️ Verified

2026 Systems Architect (AI & Quantum Integration)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are seeking a visionary 2026 Systems Architect to lead our next-generation infrastructure initiatives. In this pivotal role, you will design and deploy the technological frameworks required to scale our operations through the technological horizon of 2026 and beyond. You will bridge the gap between theoretical AI models and practical, scalable quantum-ready cloud architectures. If you are passionate about building the backbone of the future digital economy, we want to hear from you.


Why join Nexus Horizon Labs?

β€’ Work on cutting-edge Agentic AI systems.

β€’ Competitive equity and performance bonuses.

β€’ Flexible remote-first hybrid work model.

β€’ Professional development budget for certifications in emerging tech.

Responsibilities

  • Design and implement scalable, high-availability system architectures specifically tailored for 2026 deployment standards.
  • Lead the integration of Quantum Computing concepts into classical cloud infrastructure to optimize data processing.
  • Collaborate with cross-functional teams to define technical requirements and ensure architectural alignment with business goals.
  • Oversee the migration of legacy systems to next-gen microservices architectures using containerization and serverless technologies.
  • Mentor junior engineers and establish coding standards and best practices for future scalability.
  • Conduct rigorous load testing and disaster recovery planning to ensure system resilience.
  • Stay ahead of industry trends, particularly in Generative AI and Edge Computing, to advise leadership on tech roadmaps.

Qualifications

  • Master’s degree in Computer Science, Electrical Engineering, or a related field (PhD preferred).
  • 7+ years of experience in systems architecture, with at least 3 years leading large-scale technical teams.
  • Deep understanding of AI/ML model deployment, MLOps, and Kubernetes orchestration.
  • Experience with quantum-safe cryptography and quantum algorithm libraries is a strong plus.
  • Proficiency in Python, Go, or Rust, and familiarity with cloud platforms (AWS, Azure, or GCP).
  • Excellent problem-solving skills with a focus on long-term scalability and efficiency.
  • Strong communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

System Architecture AI/ML Kubernetes Python Cloud Computing Quantum Computing MLOps Microservices AWS Go Rust

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