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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect: Project 2026

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Shape the Future of Intelligence

We are on a mission to redefine the boundaries of artificial general intelligence. Nexus Future Systems is currently seeking a visionary Lead AI Architect to spearhead the development of our proprietary Project 2026 architecture. In this role, you will not just write code; you will define the mathematical foundations that power the next generation of cognitive machines.

Join a team of world-class researchers and engineers dedicated to pushing the envelope of what is possible in Generative AI, Reinforcement Learning, and Autonomous Systems.

Responsibilities

  • Architect the 2026 Framework: Design and implement the core neural network architectures for the Project 2026 model, focusing on efficiency and scalability.
  • Optimization & Deployment: Lead the deployment of high-performance inference pipelines on massive GPU clusters, ensuring sub-millisecond latency.
  • Research & Development: Conduct cutting-edge research into novel training methodologies, including self-supervised learning and multi-modal reasoning.
  • Team Leadership: Mentor a team of top-tier AI researchers and ML engineers, fostering a culture of innovation and excellence.
  • Technical Strategy: Translate complex research papers into production-ready code and define the technical roadmap for future iterations of the 2026 model.

Qualifications

  • Education: PhD in Computer Science, Mathematics, or a related field, or equivalent practical experience.
  • Technical Mastery: Extensive experience with deep learning frameworks (PyTorch, JAX, or TensorFlow) and high-performance computing (CUDA, ROCm).
  • Architecture Experience: Deep understanding of Transformer architectures, attention mechanisms, and state-of-the-art diffusion models.
  • Problem Solving: Proven track record of solving complex optimization problems at scale in a production environment.
  • Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Deep Learning PyTorch CUDA NLP Transformer Architecture Distributed Systems

Ready to Take This Challenge?

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