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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI Architect (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

The 2026 Vision: We are at the precipice of a new technological era. At Nexus Future Systems, we aren't just building software; we are architecting the reality of 2026 and beyond. We are seeking a visionary Future-Ready AI Architect to lead our initiative in deploying next-generation generative models and spatial computing interfaces.

As we transition into a fully integrated AI ecosystem, your role will be pivotal. You won't just maintain systems; you will define the architectural standards that will govern intelligent machines for the next decade. If you are passionate about the convergence of Artificial Intelligence, Spatial Computing, and Human-Computer Interaction, this is your calling.

Responsibilities

  • Architect Next-Gen Systems: Design scalable, fault-tolerant AI infrastructure capable of processing petabytes of real-time spatial data for 2026 deployments.
  • Lead AI Strategy: Spearhead the roadmap for Generative AI integration, ensuring our solutions are at the forefront of innovation.
  • Spatial Interface Development: Collaborate with XR teams to create intuitive, brain-computer interface (BCI) ready AI models.
  • Optimization & Performance: Implement rigorous optimization strategies to reduce latency and enhance inference speeds in distributed cloud environments.
  • Research & Prototyping: Experiment with novel architectures such as Transformer-based models and Neuromorphic computing paradigms.

Qualifications

  • Education: MS or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 10+ years of experience in AI/ML architecture, with at least 5 years in a leadership or senior architect role.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker).
  • Futuristic Proficiency: Proven track record in implementing Large Language Models (LLMs) and Multimodal AI systems.
  • Communication: Exceptional ability to translate complex technical concepts into clear strategic visions for stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Distributed Systems Cloud Architecture Generative AI Spatial Computing Leadership

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