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Lead AI Architect - 2026 Initiative

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Are you ready to define the future of intelligence?

Nexus Horizon Labs is on a mission to architect the cognitive infrastructure for the year 2026. We are looking for a visionary Lead AI Architect to spearhead our next-generation Artificial General Intelligence (AGI) research division. If you thrive on solving unsolved problems and building systems that scale beyond current human capabilities, this is the opportunity of a lifetime.

Join a team of elite engineers and researchers dedicated to pushing the boundaries of machine learning, quantum computing integration, and autonomous decision-making systems.

Responsibilities

  • Architect Next-Gen Systems: Design and oversee the development of scalable neural network architectures specifically engineered for the 2026 roadmap.
  • R&D Leadership: Lead a high-performance research team in exploring cutting-edge methodologies in deep learning and reinforcement learning.
  • System Integration: Integrate disparate AI models into cohesive, real-time operational systems capable of handling massive data throughput.
  • Strategic Vision: Translate complex technical requirements into actionable architectural blueprints that align with the company's long-term '2026 Vision'.
  • Performance Optimization: Continuously optimize model latency, accuracy, and resource efficiency to ensure production-grade stability.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related technical field.
  • Experience: Minimum 8+ years of experience in software engineering, with at least 5 years in a senior or leadership role within AI/ML.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and modern GPU acceleration frameworks (CUDA, cuDNN).
  • System Design: Proven track record of designing large-scale distributed systems and cloud infrastructure (AWS, GCP, or Azure).
  • Problem Solving: Exceptional ability to debug complex algorithmic issues and innovate solutions for ambiguous challenges.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning System Design Cloud Architecture AWS GCP Leadership Research

Ready to Take This Challenge?

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