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Lead AI Architect - 2026 Visionary

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

Job Description

The Future is Now. Are You Building It?

Nexus Horizon Labs is pioneering the technological frontier. We are looking for a visionary Lead AI Architect to spearhead our engineering initiatives for the 2026 roadmap. This is not just a job; it is a mission to define the architecture of tomorrow's intelligent systems.

In this pivotal role, you will bridge the gap between theoretical AI research and production-grade engineering. You will be responsible for designing scalable, secure, and robust systems that handle complex, large-scale data challenges. If you have a passion for pushing the boundaries of Generative AI, LLMs, and autonomous agents, we want to hear from you.

Join us in San Francisco to shape the trajectory of technology for the next decade.

Responsibilities

  • Define and articulate the long-term technical vision for AI infrastructure, specifically aligned with the 2026 product roadmap.
  • Design and implement high-performance, scalable architectures for Machine Learning and Deep Learning models.
  • Lead architectural reviews and technical decision-making for complex, multi-system integrations.
  • Mentor senior engineers and foster a culture of technical excellence, innovation, and continuous learning.
  • Collaborate closely with product managers and data scientists to translate research into deployable solutions.
  • Ensure system reliability, data privacy, and security compliance across all AI workloads.

Qualifications

  • 10+ years of experience in Software Engineering, with at least 5 years in AI/ML Architecture.
  • Deep expertise in Python, C++, and major ML frameworks (PyTorch, TensorFlow, JAX).
  • Strong background in designing distributed systems and cloud-native solutions (AWS, GCP, or Azure).
  • Experience with Large Language Models (LLMs), Vector Databases, and RAG architectures.
  • Proven ability to lead cross-functional teams and manage technical debt.
  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.

Required Skills

Python TensorFlow PyTorch AWS GCP Machine Learning Deep Learning Distributed Systems Cloud Architecture NLP LLM AI Strategy

Ready to Take This Challenge?

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