Home Job Details
N
Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 185.000 – USD 265.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join the Future of Intelligence.

We are looking for a visionary Senior AI Architect to lead the technical strategy for Project 2026, our next-generation autonomous systems initiative. In this role, you will design the neural infrastructure that powers the next decade of human-machine interaction. You will work alongside top-tier researchers and engineers to solve complex, unsolved problems in large language models and predictive analytics.

Why Nexus Horizon Labs?

  • Work on cutting-edge technology that defines the future.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with state-of-the-art equipment.

The Role:

You will be responsible for the end-to-end architecture of our AI pipelines, ensuring scalability, security, and performance. You will bridge the gap between theoretical research and production-grade deployment.

Responsibilities

  • Architect and deploy scalable machine learning models for Project 2026, focusing on real-time inference and low-latency processing.
  • Lead a team of data scientists and engineers, providing technical mentorship and setting best practices for code quality and system design.
  • Collaborate with product managers to translate complex AI capabilities into user-friendly features.
  • Optimize existing models for efficiency, reducing computational costs while maintaining accuracy.
  • Stay ahead of the curve in AI research, evaluating and integrating new breakthroughs into our core technology stack.
  • Define and enforce security and privacy standards for all AI data inputs and outputs.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 7+ years of experience in machine learning engineering, AI architecture, or related technical leadership roles.
  • Deep expertise in Python, TensorFlow, PyTorch, or JAX.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and MLOps practices.
  • Proven track record of shipping production-grade AI applications.
  • Exceptional problem-solving skills and ability to thrive in a fast-paced, ambiguous environment.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow Cloud Architecture MLOps System Design AI Research Kubernetes Docker

Ready to Take This Challenge?

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

Apply Now

Related Jobs

Similar job recommendations for you

View All