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Lead AI Architect (2026 Vision)

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

Job Description

Shape the Future of Intelligence.

Nexus Horizon is pioneering the technological landscape for the year 2026 and beyond. We are seeking a visionary Lead AI Architect to design the next generation of autonomous systems and neural infrastructures.

In this pivotal role, you will not just write code; you will architect the backbone of our future. You will bridge the gap between theoretical AI breakthroughs and scalable, production-grade software solutions that define our industry legacy. If you are passionate about the frontier of machine learning and want to build systems that redefine what is possible, we want to hear from you.

Responsibilities

  • Design and deploy scalable AI/ML infrastructure optimized for high-throughput environments and real-time processing.
  • Lead the research, design, and implementation of cutting-edge Large Language Models (LLMs) and generative AI tools.
  • Collaborate with cross-functional product teams to translate complex business requirements into robust, scalable technical architectures.
  • Oversee code reviews, technical debt reduction, and conduct rigorous system architecture reviews.
  • Stay ahead of the curve on emerging trends, specifically focusing on advancements expected to define the technological landscape in 2026.
  • Optimize data pipelines to ensure maximum efficiency and accuracy in model training and inference.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 5+ years of professional experience in software engineering, with at least 3 years in a senior AI/ML architect role.
  • Deep proficiency in Python, PyTorch, TensorFlow, and Hugging Face.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong understanding of distributed systems, data structures, and algorithm optimization.
  • Proven track record of leading high-performance engineering teams and mentoring junior developers.

Required Skills

Python TensorFlow PyTorch Machine Learning Cloud Architecture Docker Kubernetes AI/ML Distributed Systems

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