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Senior AI Architect (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

Pioneering the Future of Intelligence

Nexus Horizon Labs is seeking a visionary Senior AI Architect (2026 Vision) to lead the development of next-generation artificial intelligence systems. We are not just building tools for today; we are architecting the infrastructure that will define the technological landscape of 2026 and beyond. If you have a passion for pushing the boundaries of Deep Learning, Generative Models, and Autonomous Agents, this is your opportunity to shape the future.

In this role, you will work on cutting-edge projects involving Large Language Models (LLMs), Computer Vision for autonomous systems, and ethical AI frameworks. You will collaborate with a world-class team of researchers and engineers to solve complex problems that have no immediate precedent.

Why Join Us?

  • Work on projects that are 3-5 years ahead of the curve.
  • Competitive compensation package with equity options.
  • Remote-first culture with quarterly innovation hubs in SF and NYC.

Responsibilities

  • Architect and deploy scalable Deep Learning models for 2026-ready infrastructure.
  • Lead the design of proprietary LLMs and fine-tuning pipelines for niche industry applications.
  • Optimize model inference for low-latency, high-volume environments.
  • Collaborate with cross-functional teams to integrate AI solutions into consumer products.
  • Establish best practices for MLOps, data governance, and ethical AI deployment.
  • Research and prototype emerging technologies such as Quantum Machine Learning interfaces.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, with a focus on Deep Learning frameworks.
  • Expert proficiency in Python, PyTorch, TensorFlow, and C++.
  • Proven track record of deploying production-grade ML models.
  • Experience with distributed computing systems (Kubernetes, AWS, GCP).
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps Kubernetes AWS C++ Distributed Systems

Ready to Take This Challenge?

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