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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI Systems Architect

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to build the foundation for the future? Quantum Horizon Labs is seeking a visionary Future-Ready AI Systems Architect to spearhead our infrastructure initiatives for the 2026 roadmap. In this high-impact role, you will bridge the gap between cutting-edge artificial intelligence and robust, scalable systems architecture.

We are looking for a leader who doesn't just write code; they architect ecosystems that thrive in a rapidly evolving technological landscape. You will work on projects that define the next generation of digital interaction, ensuring our platform remains resilient, efficient, and ahead of the curve.

Responsibilities

  • Architect Scalable Solutions: Design and implement robust system architectures capable of handling massive data loads and complex AI workloads by 2026.
  • AI Integration Strategy: Lead the technical strategy for integrating advanced AI models into our core infrastructure with a focus on latency reduction and throughput optimization.
  • Future-Proofing: Identify emerging technologies and trends to ensure our stack remains relevant and secure against evolving cyber threats.
  • Code Review & Mentorship: Maintain high engineering standards by conducting rigorous code reviews and mentoring junior developers on best practices.
  • Collaboration: Partner with cross-functional teams including product managers, data scientists, and security experts to align technical roadmaps with business goals.

Qualifications

  • Experience: 5+ years of experience in software engineering, with at least 2 years specifically in AI systems architecture or distributed systems.
  • Technical Proficiency: Deep expertise in Python, Rust, or Go, and experience with containerization (Docker/Kubernetes) and cloud platforms (AWS/GCP/Azure).
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
  • Problem Solving: Demonstrated ability to solve complex technical challenges and optimize system performance under pressure.
  • Communication: Excellent verbal and written communication skills, with the ability to articulate technical concepts to non-technical stakeholders.

Required Skills

Python Rust Go Machine Learning Distributed Systems Cloud Architecture Kubernetes AWS System Design

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