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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: The 2026 Vision

Horizon Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join the Architects of Tomorrow.

Horizon Nexus Labs is at the forefront of defining the technological landscape for the year 2026 and beyond. We are seeking a visionary Lead AI Architect to design the scalable, ethical, and revolutionary neural infrastructure that will power the next generation of global connectivity.

In this pivotal role, you won't just be maintaining legacy systems; you will be architecting the future of artificial general intelligence (AGI) integration and quantum-ready cloud ecosystems. If you thrive on solving unsolvable problems and have a passion for shaping the digital destiny of 2026, we want to hear from you.

Why Horizon Nexus?

  • Impact: Directly influence the roadmap for AI evolution.
  • Equity: Competitive stock options in a pre-IPO unicorn.
  • Flexibility: Hybrid work model focused on output, not hours.

Responsibilities

  • Architect the 2026 Roadmap: Design and oversee the implementation of scalable AI frameworks designed to handle exabyte-scale data processing by 2026.
  • System Integration: Bridge the gap between quantum computing prototypes and classical neural networks to create hybrid processing models.
  • Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Security & Ethics: Lead initiatives to ensure AI autonomy adheres to global ethical standards and data sovereignty regulations.
  • Performance Optimization: Continuously refactor core architectures to reduce latency and improve inference speeds in real-time environments.

Qualifications

  • Experience: 8+ years of experience in Software Architecture, specifically within the AI/ML domain.
  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Technical Mastery: Deep proficiency in Python, TensorFlow, PyTorch, and Kubernetes.
  • Future-Proofing: Demonstrated experience working with emerging technologies, including Large Language Models (LLMs) and edge computing.
  • Leadership: Proven track record of leading high-performance engineering teams through complex digital transformations.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python TensorFlow Kubernetes Quantum Computing Cloud Infrastructure Leadership

Ready to Take This Challenge?

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