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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Infrastructure Architect (2026 Vision)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are Nexus Horizon Systems, a leading innovator in future-tech infrastructure. We are currently seeking a visionary Senior AI & Infrastructure Architect (2026 Vision) to lead our next-generation development initiative. In this role, you will be responsible for architecting the scalable, high-performance systems that will define our presence in the 2026 technological landscape. You will bridge the gap between theoretical AI models and robust, production-grade engineering.

Why Join Us?
We offer a competitive compensation package, remote-first flexibility, and the chance to work on projects that are shaping the future of human-computer interaction.

Responsibilities

  • Lead System Architecture: Design and implement scalable cloud infrastructure capable of handling next-gen AI workloads and predictive analytics.
  • AI Integration: Oversee the seamless integration of Large Language Models (LLMs) and generative AI tools into core business applications.
  • Performance Optimization: Continuously monitor and optimize system latency, throughput, and cost-efficiency.
  • Team Mentorship: Guide a team of junior developers and data scientists in best practices for modern software engineering.
  • Future-Proofing: Conduct research and prototyping for emerging technologies expected to mature by 2026.
  • Security & Compliance: Ensure all infrastructure adheres to strict data privacy regulations and security standards.

Qualifications

  • Experience: 8+ years of experience in software engineering and infrastructure architecture.
  • AI Expertise: Deep understanding of machine learning frameworks (PyTorch, TensorFlow) and generative AI models.
  • Cloud Mastery: Proficiency in AWS, GCP, or Azure with a focus on serverless and containerized environments (Kubernetes/Docker).
  • Programming: Strong proficiency in Python, Go, or Rust.
  • Leadership: Proven track record of leading cross-functional teams in high-pressure environments.
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Required Skills

Python Kubernetes AWS Machine Learning AI Architecture System Design Cloud Computing Docker Go Rust Machine Learning Operations (MLOps)

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