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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Architect

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are seeking a visionary Future-Ready AI Architect to lead the development of next-generation technologies shaping the landscape of 2026. Nexus Horizon Labs is at the forefront of integrating Artificial General Intelligence (AGI) with immersive spatial computing environments. If you are passionate about the future of technology and possess the expertise to build scalable, robust systems for tomorrow, we want to hear from you.

In this role, you will define the technical strategy for our flagship product, bridging the gap between advanced neural networks and immersive user experiences. You will work in a fast-paced, high-performance environment that values innovation, creativity, and technical excellence.

Responsibilities

  • Design and architect scalable neural network architectures for real-time data processing and decision-making.
  • Lead the integration of spatial computing environments (AR/VR) with AI models to create seamless human-computer interactions.
  • Optimize algorithms for low-latency performance on edge devices and high-performance computing clusters.
  • Collaborate with cross-functional teams of engineers, designers, and product managers to define technical roadmaps for 2026 and beyond.
  • Establish best practices for code quality, testing, and deployment of AI systems.
  • Mentor junior engineers and contribute to a culture of continuous learning and innovation.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, with a focus on large language models or computer vision.
  • Strong proficiency in Python, C++, and modern machine learning frameworks (TensorFlow, PyTorch).
  • Deep understanding of spatial computing concepts, WebGL, and 3D rendering pipelines.
  • Experience with cloud infrastructure (AWS, GCP) and containerization (Docker, Kubernetes).
  • Proven track record of leading complex technical projects from conception to deployment.

Required Skills

Artificial Intelligence Machine Learning Spatial Computing Python C++ AR/VR Computer Vision AWS Docker Leadership

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