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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: The 2026 Vision

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are on a mission to redefine the technological landscape for the year 2026 and beyond. Nexus Horizon Systems is seeking a visionary Lead AI Architect to spearhead the development of our next-generation predictive models and autonomous systems. You will not just be building software; you will be architecting the infrastructure that powers the future.

In this pivotal role, you will bridge the gap between theoretical AI research and scalable production engineering. You will lead a high-performing team of data scientists and engineers, ensuring our solutions are robust, ethical, and future-proof.

Why Join Us?

  • Work at the forefront of generative AI and edge computing.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with access to top-tier tech stacks.
  • Opportunity to shape the roadmap for 2026 and beyond.

Responsibilities

  • Design and implement scalable AI architectures that support high-traffic production environments.
  • Lead the technical vision for the 2026 product roadmap, focusing on LLMs and neural networks.
  • Collaborate with cross-functional teams including product managers, designers, and researchers.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Optimize existing algorithms for speed, accuracy, and cost-efficiency.
  • Ensure data privacy, security, and compliance with industry standards.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • 10+ years of experience in software engineering and machine learning, with at least 4 years in a leadership or architect role.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of delivering complex AI solutions from concept to deployment.

Required Skills

Python PyTorch TensorFlow NLP Computer Vision Machine Learning MLOps Cloud Computing Kubernetes Docker Leadership System Architecture

Ready to Take This Challenge?

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