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Senior AI Architect: The 2026 Vision

Apex Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to lead the development of our flagship 2026 technology roadmap. At Apex Horizon Systems, we are building the infrastructure for the next decade of human-machine interaction. You will be responsible for designing scalable neural architectures that power our next-generation Spatial Computing and Generative AI platforms.

As a key leader in our engineering division, you will bridge the gap between theoretical AI research and production-grade software. Your work will directly impact how millions of users interact with the digital world in 2026 and beyond.

Why Join Us?

  • Work on cutting-edge Spatial Computing and Generative AI projects.
  • Competitive compensation and equity package.
  • Flexible remote-first policy with a hub in San Francisco.

Responsibilities

  • Architectural Design: Design and implement robust, scalable AI systems focusing on large language models (LLMs) and spatial reasoning algorithms.
  • Performance Optimization: Optimize inference and training pipelines for low-latency, high-throughput requirements in edge environments.
  • Team Leadership: Mentor a team of junior and mid-level engineers, conducting code reviews and fostering a culture of innovation.
  • Research Integration: Evaluate and integrate the latest advancements in AI research to keep our products at the forefront of 2026 technology.
  • System Integration: Collaborate with UX designers and 3D rendering engineers to create seamless AI-driven user interfaces.
  • Scalability: Ensure our infrastructure can handle massive concurrent user loads and complex data streams.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of professional experience in software engineering, with at least 3 years focused on AI/ML system architecture.
  • Technical Skills: Proficiency in Python, C++, and experience with frameworks such as PyTorch or TensorFlow.
  • Specialization: Strong background in Computer Vision, Natural Language Processing, or Spatial Computing technologies.
  • Problem Solving: Proven ability to solve complex, ambiguous problems in high-pressure environments.
  • Communication: Excellent written and verbal communication skills for technical documentation and stakeholder presentations.

Required Skills

Python C++ PyTorch TensorFlow Machine Learning System Architecture Computer Vision NLP Spatial Computing AWS Docker Kubernetes

Ready to Take This Challenge?

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