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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Systems Architect: 2026 Horizon

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

Job Description

We are seeking a visionary Lead AI Systems Architect to spearhead the technological roadmap for 2026. In this pivotal role, you will bridge the gap between theoretical AI breakthroughs and scalable, real-world infrastructure. At Nexus Horizon, we are building the systems that will define the next era of human-machine collaboration.

You will lead a world-class team of engineers and researchers, ensuring our AI models are not only cutting-edge but also ethical, secure, and resilient against the challenges of a rapidly evolving digital landscape.

Responsibilities

  • Architect and design the core infrastructure for next-generation AI systems, with a specific focus on the 2026 roadmap.
  • Lead a cross-functional team of ML engineers and data scientists to implement complex algorithms at scale.
  • Establish best practices for model deployment, monitoring, and automated retraining pipelines.
  • Drive technical decision-making regarding cloud architecture, edge computing, and quantum integration.
  • Ensure compliance with global AI ethics and data privacy regulations (GDPR, CCPA).
  • Collaborate with product leadership to translate business goals into technical specifications.
  • Conduct rigorous code reviews and technical mentoring to foster a culture of innovation.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of leading high-performance engineering teams and delivering large-scale systems.
  • Strong understanding of Large Language Models (LLMs) and generative AI technologies.
  • Experience with Kubernetes, Docker, and cloud platforms (AWS/GCP/Azure).
  • Excellent communication skills, capable of explaining complex technical concepts to diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Kubernetes AWS Machine Learning Distributed Systems LLMs Data Science System Architecture

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