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Senior AI Systems Architect - Horizon 2026

Horizon 2026
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to define the technological landscape of the future? Horizon 2026 is seeking a visionary Senior AI Systems Architect to lead our cutting-edge research and development division.

We are building the infrastructure for tomorrow. In this role, you will not just write code; you will architect the neural networks and data pipelines that will power our solutions for the next decade. If you have a passion for pushing the boundaries of artificial intelligence and machine learning, this is your opportunity to make a lasting impact.

What You Will Do:

Responsibilities

  • Design and implement scalable AI infrastructure capable of processing petabytes of data in real-time.
  • Lead the research and development of advanced machine learning models and algorithms.
  • Collaborate with cross-functional teams to integrate AI solutions into core products.
  • Mentor junior engineers and architects, fostering a culture of innovation and excellence.
  • Ensure system reliability, security, and scalability across all cloud environments.
  • Define technical roadmaps and best practices for AI implementation.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of professional experience in software engineering, with at least 4 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
  • Strong proficiency in cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • Proven track record of leading high-impact technical projects from conception to deployment.
  • Excellent communication skills and the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch AWS System Architecture Machine Learning Engineering

Ready to Take This Challenge?

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