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Senior AI Architect | Shaping the 2026 Future | San Francisco, CA

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join the Architects of Tomorrow

We are not just predicting the future; we are engineering it. Nexus Horizon Technologies is seeking a visionary Senior AI Architect to lead our research and development division focused on the technology paradigms of 2026 and beyond.

In this pivotal role, you will define the core infrastructure for our upcoming generation of neural interfaces and autonomous systems. If you are passionate about pushing the boundaries of what is possible with Artificial General Intelligence (AGI) and are eager to work on projects that will define the next decade of technology, we want to hear from you.

Why Join Us?

  • Impact: Build the foundational AI systems for a global platform.
  • Autonomy: Work in a cutting-edge environment with minimal bureaucracy.
  • Growth: Competitive equity package and continuous learning budget.

Responsibilities

  • Architect scalable, fault-tolerant machine learning systems designed for the demands of 2026.
  • Lead research initiatives into emergent AI technologies, including Neuromorphic Computing and Quantum AI integration.
  • Optimize deep learning models for low-latency, high-bandwidth neural network environments.
  • Collaborate with product and engineering teams to translate futuristic concepts into deployable code.
  • Establish best practices for AI safety, ethics, and responsible development in high-stakes environments.
  • Mentor and guide a team of brilliant engineers and data scientists.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
  • 8+ years of professional experience in software engineering and machine learning, with at least 3 years in a leadership or architecture role.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of deploying Large Language Models (LLMs) and Generative AI solutions at scale.
  • Experience with edge computing, sensor fusion, or neural interface protocols is highly preferred.
  • Strong communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow System Architecture Deep Learning LLMs Neural Networks Leadership

Ready to Take This Challenge?

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

Apply Now

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