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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Roadmap | San Francisco, CA

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

Job Description

Join Nexus Horizon, a pioneer in next-generation artificial intelligence, as we architect the future of 2026. We are seeking a visionary Lead AI Architect to define the infrastructure that will power the next decade of human-machine interaction.

In this pivotal role, you won't just manage code; you will define the strategic direction of our AI ecosystem. You will bridge the gap between theoretical quantum advancements and practical neural network deployment, ensuring our systems are scalable, secure, and ahead of the curve.

At Nexus Horizon, we value radical innovation. We offer competitive equity, a remote-first culture, and the opportunity to build the foundational technologies that will define the year 2026 and beyond.

Responsibilities

  • Define and execute the technical roadmap for the 2026 AI Infrastructure, aligning with business objectives.
  • Architect high-performance distributed systems capable of handling exascale data processing.
  • Lead a team of senior engineers and data scientists in the development of proprietary neural architectures.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Mentor junior staff and establish best practices for scalable machine learning operations (MLOps).

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in a lead architectural role.
  • Deep expertise in Python, TensorFlow, PyTorch, and large language model (LLM) fine-tuning.
  • Proven track record of designing resilient systems in cloud environments (AWS/GCP/Azure).
  • Strong understanding of quantum computing concepts and their application to modern AI problems.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes Machine Learning Distributed Systems Cloud Architecture Leadership

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