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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - San Francisco, CA

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

Job Description

We are at the precipice of a new technological era. Nexus Horizon is building the infrastructure for the future, and we need a visionary Senior AI Architect to lead our research into 2026-ready generative systems.


In this pivotal role, you will bridge the gap between theoretical AI research and scalable production environments. You will not just build models; you will architect the very fabric of our cognitive computing ecosystem. If you are passionate about pushing the boundaries of what is possible in machine learning, large language models, and autonomous agents, we want to meet you.


Why join Nexus Horizon?

  • Work on mission-critical projects that define the next decade of technology.
  • Competitive compensation package including equity options.
  • Flexible remote-first culture with state-of-the-art facilities in downtown San Francisco.

Are you ready to shape the future? Apply today.

Responsibilities

  • Design and implement scalable, high-performance AI architectures capable of processing petabytes of data in real-time.
  • Lead a team of machine learning engineers and data scientists in the development of proprietary LLMs and neural networks.
  • Collaborate with cross-functional teams to integrate AI solutions into core product lines.
  • Mentor junior staff, conducting code reviews, and establishing best practices for MLOps and model deployment.
  • Research cutting-edge advancements in deep learning to ensure our technology remains at the forefront of the industry.
  • Define technical roadmaps and strategies for AI innovation within the organization.

Qualifications

  • Master’s or Ph.D. in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Apache Spark).
  • Proven track record of deploying large-scale machine learning models to production.
  • Strong understanding of neural networks, natural language processing, and computer vision.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, high-stakes environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Natural Language Processing Keras Docker Kubernetes SQL MLOps Distributed Systems

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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