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Senior AI Architect (2026 Vision)

Quantum Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are at the precipice of a new era in artificial intelligence. Quantum Horizon Systems is looking for a visionary Senior AI Architect to define the technical roadmap for our proprietary platforms targeting the 2026 horizon. In this high-impact role, you will lead the architectural vision for next-generation generative AI systems, ensuring they are scalable, secure, and capable of redefining industry standards. If you are passionate about building the future of tech and want to shape the trajectory of AI for the next decade, this is your opportunity.

Responsibilities

  • Define and execute the long-term AI architecture strategy for the 2026 product roadmap.
  • Design scalable, distributed machine learning pipelines capable of handling petabyte-scale data.
  • Lead the research and implementation of cutting-edge Large Language Models (LLMs) and multimodal systems.
  • Mentor senior engineering teams and drive technical decision-making across cross-functional departments.
  • Ensure system reliability, security, and compliance with global data protection regulations.
  • Collaborate with product leadership to translate business goals into technical specifications.
  • Stay ahead of emerging technologies and integrate them into our core architecture.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in deep learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Proven track record of leading high-performance teams in a fast-paced startup or enterprise environment.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Experience with MLOps, model versioning, and automated deployment pipelines.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps Kubernetes AWS Cloud Architecture Generative AI LLMs System Design

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