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Principal AI & Spatial Computing Architect (2026 Initiatives)

FutureForge Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

FutureForge Technologies is seeking a visionary Principal AI & Spatial Computing Architect to lead our 2026 Initiatives. As we prepare for the next evolution of human-computer interaction, you will be at the forefront of integrating advanced artificial intelligence with immersive spatial computing environments. This is a unique opportunity to shape the future of our technology stack and build products that will define the 2026 digital landscape.

The Role:

You will drive the architectural strategy for our next-generation platforms, ensuring seamless integration of real-time AI models, WebGPU, and spatial web technologies. If you are passionate about building the future today and possess a deep understanding of where technology is heading, we want you on our team.

Responsibilities

  • Architect and develop scalable, next-generation AI and spatial computing platforms targeted for 2026 market readiness.
  • Collaborate with cross-functional teams to integrate Large Language Models (LLMs) with immersive 3D interfaces.
  • Lead the transition of existing infrastructure to WebGPU and edge-computing frameworks.
  • Establish best practices for ethical AI deployment and spatial data security.
  • Mentor engineering teams on emerging technologies and future-proof coding standards.
  • Conduct R&D to evaluate upcoming hardware and software capabilities set to release in 2026.

Qualifications

  • 8+ years of experience in software architecture, with a strong focus on AI/ML and 3D graphics.
  • Proven expertise in WebGPU, WebGL, or equivalent spatial computing frameworks.
  • Deep understanding of modern AI architectures, including transformers and generative models.
  • Experience leading high-performance engineering teams in an agile environment.
  • Excellent problem-solving skills and a forward-thinking mindset.
  • Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.

Required Skills

AI Architecture Spatial Computing WebGPU LLM Integration 3D Graphics Edge Computing Strategic Leadership

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