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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect: 2026 Vision

Nexus Horizon Group
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are seeking a visionary AI Systems Architect to define the technological roadmap for 2026 and beyond. Nexus Horizon Group is at the forefront of integrating advanced generative models with next-generation cloud infrastructure. In this pivotal role, you will lead the architectural design of autonomous systems capable of handling complex, real-time data streams. You will be responsible for ensuring our platforms are not only scalable but future-proofed for the rapid evolution of Artificial General Intelligence (AGI).

Why Join Us?

  • Work on projects that define the standard for the year 2026.
  • Competitive compensation package including equity.
  • Flexible remote-first policy with a San Francisco hub.

Responsibilities

  • Architect and deploy scalable deep learning and machine learning pipelines designed for future workloads.
  • Lead the R&D efforts in neural architecture search and synthetic data generation.
  • Collaborate with cross-functional teams to integrate AI models into core product ecosystems.
  • Optimize system latency and throughput for high-frequency trading or high-volume data processing scenarios.
  • Establish best practices for model governance, security, and ethical AI deployment.
  • Conduct technical due diligence on emerging technologies to inform the 2026 roadmap.

Qualifications

  • 10+ years of experience in software engineering and machine learning architecture.
  • Proven track record of designing systems at scale (10M+ users or transactions).
  • Expert proficiency in Python, Rust, or Go, and experience with major cloud providers (AWS, GCP, Azure).
  • Deep understanding of Large Language Models (LLMs), Transformers, and reinforcement learning.
  • Strong background in distributed systems, microservices, and containerization (Kubernetes).
  • Experience with hardware acceleration (TPU/GPU clusters) and edge computing.

Required Skills

Python Machine Learning Deep Learning Cloud Architecture Kubernetes AWS Rust NLP Distributed Systems AI Ethics

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