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Senior AI Architect (2026 Roadmap)

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

Job Description

We are seeking a visionary Senior AI Architect to lead the technological roadmap for our 2026 initiatives. At Quantum Horizon, we are not just predicting the future; we are architecting it. You will be at the forefront of integrating generative AI, predictive analytics, and next-generation neural networks into our core infrastructure.

In this role, you will bridge the gap between theoretical research and scalable production systems. You will collaborate with cross-functional teams to define the AI strategy that will define our industry leadership by 2026.

Why join us?

  • Work with state-of-the-art technology.
  • Competitive equity and benefits package.
  • Flexible remote/hybrid work options.
  • Opportunity to shape the future of AI.

Responsibilities

  • Design and implement scalable AI/ML architectures aligned with the 2026 strategic vision.
  • Oversee the deployment of large language models (LLMs) and computer vision systems.
  • Lead a team of data scientists and engineers to optimize model performance and reduce latency.
  • Establish best practices for MLOps, data governance, and ethical AI usage.
  • Collaborate with product managers to translate complex technical requirements into functional AI solutions.
  • Conduct rigorous research to stay ahead of industry trends in quantum computing and edge AI.

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 in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern deep learning frameworks.
  • Proven track record of deploying production-grade machine learning systems at scale.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure).
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning Neural Networks Cloud Computing MLOps System Design TensorFlow PyTorch AWS GCP

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