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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Horizon Systems Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to join Project 2026, Horizon Systems’ most ambitious initiative to redefine the boundaries of artificial general intelligence. If you are passionate about building the future and want to lead the technological revolution, this is your opportunity to shape the next generation of human-machine interaction.

As part of our elite R&D division, you will work at the forefront of Generative AI, Neural Interfaces, and Quantum Computing integration. You will be responsible for designing scalable, robust architectures that power our next-generation products. We offer a competitive compensation package, equity, and the chance to work with the brightest minds in the industry.

Responsibilities

  • Architect and design scalable, high-performance AI models and distributed computing systems for Project 2026.
  • Lead the research and implementation of novel deep learning algorithms and neural network architectures.
  • Collaborate with cross-functional teams of engineers, data scientists, and product managers to translate research into production-ready solutions.
  • Mentor junior engineers and establish coding standards and best practices for AI engineering.
  • Optimize model inference speed and resource efficiency using advanced hardware acceleration techniques (GPUs/TPUs).
  • Stay ahead of industry trends in AI, including LLMs, Transformers, and reinforcement learning.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • 7+ years of professional experience in software engineering, with a strong focus on Machine Learning and Deep Learning.
  • Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Experience designing systems for low-latency, high-throughput environments.
  • Strong understanding of software engineering principles, including distributed systems, microservices, and cloud architecture (AWS/GCP).
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR) or shipping production-level AI products.

Required Skills

Python PyTorch TensorFlow CUDA GPGPU Deep Learning Machine Learning AI Distributed Systems Cloud Architecture AWS GCP C++ SQL

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