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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Systems Architect - 2026 Roadmap

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

Job Description

Are you ready to architect the future of intelligent systems? Nexus Horizon Labs is seeking a visionary Senior AI Systems Architect to define the technical roadmap for 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical AI research and scalable production infrastructure, ensuring our platforms remain at the forefront of generative intelligence.

We are not just building software; we are engineering the cognitive layer of the next industrial revolution. If you thrive in ambiguity and have a passion for pushing the boundaries of what is possible with neural networks and distributed systems, we want to hear from you.

Responsibilities

  • Architectural Leadership: Design and oversee the implementation of robust, scalable AI infrastructure capable of handling exascale data processing.
  • Future-Proofing: Lead the technical strategy for integrating emerging technologies, including quantum computing and neuromorphic hardware, into our 2026 roadmap.
  • Model Optimization: Drive initiatives to reduce inference latency and improve the energy efficiency of large language models (LLMs).
  • Collaboration: Partner with cross-functional teams of data scientists, researchers, and engineers to translate complex research into production-ready solutions.
  • Standards & Governance: Establish best practices for AI ethics, security, and deployment pipelines.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Technical Expertise: Deep understanding of machine learning frameworks (PyTorch, TensorFlow) and distributed systems (Kubernetes, Docker).
  • Language Proficiency: Expert-level proficiency in Python and C++.
  • Strategic Mindset: Demonstrated ability to lead high-performance teams and drive technical roadmaps in a fast-paced, startup environment.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python C++ Distributed Systems Kubernetes Quantum Computing Deep Learning LLMs

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