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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Systems Architect (2026 Vision)

Nexus Horizon Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

We are pioneering the technological landscape of the year 2026 and beyond. Nexus Horizon Inc. is seeking a visionary Senior AI Systems Architect to lead the design and deployment of next-generation artificial intelligence infrastructures. In this role, you will bridge the gap between theoretical machine learning breakthroughs and scalable production environments, ensuring our systems are future-proof and resilient. Join a team dedicated to solving the complex challenges of tomorrow, today.

As we push the boundaries of what is possible, you will be instrumental in defining our roadmap for 2026 and beyond.

Responsibilities

  • Architect and oversee the development of high-performance AI and Machine Learning pipelines designed for 2026 scalability standards.
  • Lead a cross-functional team of data scientists, engineers, and researchers to translate research prototypes into production-ready software.
  • Define and implement best practices for data governance, model deployment, and MLOps automation.
  • Evaluate emerging technologies (e.g., quantum computing interfaces, advanced neural networks) and assess their applicability to our core product suite.
  • Ensure system security, latency optimization, and cost-efficiency in cloud-native environments.
  • Mentor junior architects and engineers, fostering a culture of innovation and continuous learning.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years focused on AI/ML system architecture.
  • Proven track record of deploying large-scale machine learning models in production environments.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar frameworks.
  • Strong understanding of distributed systems, microservices architecture, and cloud platforms (AWS, GCP, or Azure).
  • Experience with MLOps tools (Kubernetes, MLflow, Docker) and CI/CD pipelines.
  • Master’s degree or PhD in Computer Science, AI, or a related technical field is preferred.

Required Skills

Python TensorFlow PyTorch Machine Learning System Architecture Cloud Computing (AWS/GCP) MLOps Kubernetes Distributed Systems

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