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Future AI Architect (2026 Roadmap) - San Francisco, CA

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

Job Description

The Future is Now. Nexus Horizon Labs is seeking a visionary Future AI Architect to define the technical roadmap for our 2026 suite of autonomous systems. We are not just building software for today; we are engineering the intelligence that will define the era of 2026. You will be at the forefront of Generative AI, Neural Architectures, and Ethical Machine Learning, collaborating with world-class engineers to solve problems that don't yet exist.

Why Join Us?

  • Shape the 2026 AI landscape with cutting-edge technology.
  • Work in a high-performance environment focused on scalability and ethics.
  • Competitive compensation package including equity and remote-first flexibility.

Your Mission

You will bridge the gap between theoretical AI research and production-grade engineering. We are looking for someone who not only understands current LLMs but can anticipate the architectural shifts required for the year 2026.

Responsibilities

  • Architect and design scalable, fault-tolerant AI systems for the 2026 product roadmap.
  • Lead the research and implementation of next-generation Neural Network architectures.
  • Optimize model inference speeds and reduce latency for real-time applications.
  • Establish ethical guidelines and safety protocols for autonomous decision-making systems.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer hardware.
  • Conduct deep-dive technical feasibility studies for emerging technologies.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • 10+ years of experience in AI/ML engineering, with at least 5 years in a leadership role.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of deploying Large Language Models (LLMs) into production environments.
  • Strong understanding of Natural Language Processing (NLP) and Computer Vision.
  • Experience with MLOps, CI/CD pipelines, and cloud infrastructure (AWS/GCP/Azure).

Required Skills

Python PyTorch TensorFlow MLOps Distributed Systems NLP LLMs Cloud Computing Machine Learning Architecture

Ready to Take This Challenge?

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