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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

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

Job Description

We are at the precipice of a technological revolution. As we look toward the horizon of 2026, Nexus Horizon AI is seeking a visionary Senior AI Architect to lead the charge in building the next generation of intelligent systems. If you thrive on solving complex problems and shaping the future of technology, this is your opportunity to make an indelible mark.

In this pivotal role, you will bridge the gap between theoretical artificial intelligence and scalable, real-world applications. You will define the architectural blueprint for our upcoming suite of autonomous agents and predictive analytics platforms.

Responsibilities

  • Architect and deploy robust, scalable machine learning pipelines capable of handling petabyte-scale data streams.
  • Lead the research and integration of emerging technologies, including neuromorphic computing and edge AI optimization.
  • Define technical standards and best practices to ensure system reliability and security across all AI initiatives.
  • Mentor and cultivate a high-performing engineering team, fostering a culture of innovation and continuous learning.
  • Collaborate with cross-functional stakeholders—including product, legal, and design—to align technical solutions with business goals.
  • Oversee the lifecycle of AI models from prototype to production, ensuring rigorous testing and compliance.

Qualifications

  • 10+ years of experience in software engineering, machine learning, or data science with at least 5 years in a senior architectural role.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Strong proficiency in cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of leading large-scale machine learning projects in production environments.
  • Excellent communication skills with the ability to translate complex technical concepts to diverse audiences.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.

Required Skills

Python Machine Learning Artificial Intelligence Cloud Architecture TensorFlow PyTorch Kubernetes Docker AWS GCP

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