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Senior AI Architect: The 2026 Vision

Quantum Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the future of artificial intelligence? Quantum Horizon Systems is looking for a visionary Senior AI Architect to lead our cutting-edge '2026 Initiative.'

In this pivotal role, you won't just write code; you will define the standards for next-generation generative models and autonomous agents. We are building the technology stack that will redefine human-machine interaction by the year 2026. Join us in shaping the digital frontier with unparalleled innovation and technical excellence.

Responsibilities

  • Architect and design scalable, high-performance AI infrastructure capable of supporting exascale computations.
  • Lead the research and development of proprietary large language models and multimodal agents for the 2026 roadmap.
  • Collaborate with cross-functional teams to translate complex business requirements into robust technical solutions.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Ensure the security, privacy, and ethical deployment of AI systems in compliance with global regulations.
  • Optimize existing neural networks and inference engines to reduce latency and improve throughput.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, PyTorch, or TensorFlow, with experience in Rust or Go preferred.
  • Strong background in distributed systems, cloud-native architectures (AWS/GCP/Azure), and containerization (Kubernetes).
  • Proven track record of deploying production-ready ML models at scale.
  • Experience with MLOps pipelines, model versioning, and automated retraining workflows.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems Kubernetes AWS MLOps AI Architecture Generative AI

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