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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Infrastructure Architect – 2026 Roadmap

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

Job Description

We are pioneering the technological landscape for the year 2026 and beyond. Nexus Horizon is seeking a visionary Senior AI Infrastructure Architect to design the backbone of our next-generation artificial intelligence systems. In this role, you will bridge the gap between theoretical AI research and scalable, production-ready infrastructure, ensuring our platforms are resilient, efficient, and future-proof.

Join a team of elite engineers dedicated to solving complex challenges at the intersection of machine learning, high-performance computing, and cloud scalability. If you are passionate about shaping the digital future, this is your opportunity to lead the charge.

Responsibilities

  • Architect and deploy scalable AI infrastructure optimized for the 2026 computational landscape, including edge computing and distributed systems.
  • Lead the migration of legacy models to next-gen neural network frameworks, ensuring zero downtime and high availability.
  • Collaborate with data scientists to define hardware requirements and optimize model inference speeds.
  • Implement robust security protocols and compliance measures for sensitive data processing.
  • Mentor junior engineers and foster a culture of continuous innovation and technical excellence.
  • Conduct architectural reviews and provide technical leadership on complex system integrations.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI infrastructure and machine learning systems.
  • Deep expertise in Python, C++, and Rust, with proven experience in high-performance computing.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
  • Familiarity with quantum computing concepts and hardware-software co-design is a major plus.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.
  • Strong communication skills, with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Cloud Architecture Kubernetes Docker TensorFlow PyTorch System Design AI/ML Infrastructure

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