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Information Technology 🏒 Full Time ⭐️ Verified

Principal Architect: Future Tech & AI Readiness (2026)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Nexus Horizon Systems is at the forefront of defining the technological landscape for 2026 and beyond. We are seeking a visionary Principal Architect to lead our infrastructure initiatives, ensuring our platforms are prepared for the next generation of AI integration and quantum computing readiness.

In this role, you will bridge the gap between theoretical innovation and scalable engineering. You will design the backbone of our future products, ensuring security, scalability, and performance in an era of rapid technological evolution.

Join us to shape the architecture of tomorrow, today.

Responsibilities

  • Design and implement scalable, high-performance architectures for AI-driven workloads and quantum-ready infrastructure.
  • Lead the technical strategy for the company's 2026 roadmap, defining standards for cloud-native applications.
  • Mentor and guide a team of senior engineers and data scientists to foster a culture of innovation.
  • Ensure end-to-end system security, data sovereignty, and regulatory compliance in all architectural designs.
  • Collaborate with cross-functional R&D teams to integrate emerging technologies into production environments.
  • Optimize existing systems to handle exponential data growth and real-time processing demands.
  • Conduct architectural reviews and make critical decisions on technology stacks and vendor selection.

Qualifications

  • 10+ years of experience in Systems Architecture, Software Engineering, or Cloud Computing.
  • Deep expertise in programming languages such as Python, Rust, or Go.
  • Proven experience with cloud platforms (AWS, GCP, or Azure) and containerization (Kubernetes, Docker).
  • Strong understanding of Machine Learning operations (MLOps) and large language model deployment.
  • Experience with cybersecurity frameworks and data privacy regulations (GDPR, CCPA).
  • Advanced degree in Computer Science, Engineering, or a related technical field (Master’s preferred).
  • Demonstrated ability to lead large-scale projects from conception to deployment.

Required Skills

Systems Architecture AI/ML Kubernetes Cloud Computing Python Rust Quantum Readiness Cybersecurity MLOps

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