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Lead AI Architect (Project 2026) | San Francisco, CA

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

Job Description

Are you ready to define the future of intelligent systems?

Nexus Horizon AI is pioneering the next generation of autonomous AI agents. We are currently seeking a visionary Lead AI Architect to spearhead our Project 2026, a groundbreaking initiative aimed at revolutionizing human-machine interaction through advanced generative models and predictive analytics.

In this role, you will not just build models; you will architect the infrastructure that powers the next decade of technological evolution. If you are passionate about pushing the boundaries of what is possible in deep learning and have a knack for leading high-performance engineering teams, we want to hear from you.

Why Join Us?
- Work with state-of-the-art infrastructure and cutting-edge hardware.
- Competitive equity package and top-tier compensation.
- Flexible remote-first culture with a collaborative HQ in the heart of SF.

Responsibilities

  • Architect and implement scalable deep learning infrastructure for Project 2026, ensuring high availability and low latency.
  • Lead the research and development of novel neural network architectures, focusing on reinforcement learning and multimodal AI.
  • Mentor and guide a team of senior engineers and data scientists to foster a culture of innovation and technical excellence.
  • Collaborate with product leadership to translate complex business requirements into robust technical solutions.
  • Optimize existing models for inference efficiency, targeting edge deployment on next-gen hardware.
  • Define and enforce best practices for MLOps, data governance, and model security.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • 8+ years of experience in machine learning, with at least 3 years in a leadership or architect role.
  • Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Proven track record of deploying large-scale ML systems in production environments.
  • Strong background in Natural Language Processing (NLP) or Computer Vision is highly preferred.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.

Required Skills

Python PyTorch TensorFlow MLOps Deep Learning NLP Computer Vision CUDA AWS Kubernetes AI Architecture Machine Learning Engineering

Ready to Take This Challenge?

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

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