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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Systems Architect (Project 2026)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

We are a pioneering force in the technology sector, currently driving the Project 2026 initiative to revolutionize autonomous systems and intelligent infrastructure. We are seeking a visionary Senior AI Systems Architect to lead our technical strategy and build the backbone of our next-generation AI ecosystem.

In this role, you will bridge the gap between theoretical research and scalable production systems. You will define the architectural standards that ensure our AI solutions are robust, secure, and future-proof. If you are passionate about pushing the boundaries of what is possible in machine learning and systems engineering, we want to hear from you.

Responsibilities

  • Design and implement scalable machine learning infrastructure aligned with the Project 2026 roadmap.
  • Architect high-performance computing environments and optimize neural network deployment.
  • Collaborate with product and engineering teams to integrate AI models into real-world applications.
  • Establish best practices for data governance, model monitoring, and system reliability.
  • Conduct research on emerging AI technologies to drive innovation and maintain a competitive edge.
  • Lead technical mentorship and code reviews for junior engineers and data scientists.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of experience in software engineering and machine learning architecture.
  • Deep proficiency in Python, TensorFlow, PyTorch, and modern deep learning frameworks.
  • Expert knowledge of cloud architecture (AWS, GCP, or Azure) and containerization (Kubernetes/Docker).
  • Strong understanding of distributed systems, microservices, and high-availability patterns.
  • Excellent problem-solving skills and experience leading cross-functional technical teams.

Required Skills

Python TensorFlow PyTorch Kubernetes AWS GCP System Architecture Machine Learning Deep Learning

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