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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

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

Shape the Future with Nexus Horizon Labs

We are looking for a visionary Senior AI Architect to lead our Project 2026 initiative. As we stand on the precipice of a new era in artificial intelligence, we need a technical leader to architect scalable, robust, and ethically sound systems that will define the next decade. This is not just a job; it is a mission to build the infrastructure for tomorrow.

Why Join Us?

  • Global Impact: Work on cutting-edge AI solutions that will revolutionize industries.
  • Future-Ready: Be at the forefront of the 2026 technological roadmap.
  • Top-Tier Compensation: Competitive salary plus equity packages.

Your Mission

You will be responsible for the end-to-end design and implementation of our core AI infrastructure. You will bridge the gap between theoretical research and production-grade software, ensuring our systems are not only powerful but also responsible and efficient.

Responsibilities

  • Architect and design scalable AI infrastructure for the Project 2026 roadmap, focusing on LLMs and generative AI.
  • Lead the technical strategy for deploying large-scale machine learning models into production environments.
  • Collaborate with cross-functional teams of researchers, engineers, and product managers to define technical requirements.
  • Establish best practices for code quality, testing, and deployment automation.
  • Mentor junior engineers and foster a culture of innovation and continuous learning.
  • Ensure system security, privacy, and compliance with global data regulations.
  • Identify emerging technologies and evaluate their potential impact on our long-term strategy.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years focused on AI/ML architecture.
  • Extensive experience with Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of leading high-performance engineering teams.
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
  • Demonstrated experience in designing fault-tolerant systems.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes System Design Machine Learning Deep Learning Cloud Architecture

Ready to Take This Challenge?

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