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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Senior AI Architect: The 2026 Horizon

Quantum Horizon Systems
San Francisco, CA
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

We are on the precipice of a new era. Quantum Horizon Systems is seeking a visionary Senior AI Architect to define the technological roadmap for 2026 and beyond. In this pivotal role, you will lead the integration of generative AI, spatial computing, and autonomous agents into our core infrastructure.

Our mission is to build the digital twin of reality. As we scale towards the 2026 release of our flagship product, we need a leader who can bridge the gap between theoretical AI capabilities and scalable, production-grade engineering.

Why Join Us?

  • Work on projects that define the future of human-computer interaction.
  • Competitive compensation package including equity.
  • Flexible remote-first culture with hubs in SF and NYC.

Responsibilities

  • Architect and implement scalable AI infrastructure capable of handling petabyte-scale data streams.
  • Lead the R&D strategy for 2026 AI integrations, specifically focusing on LLM fine-tuning and prompt engineering frameworks.
  • Collaborate with cross-functional teams (Product, Design, Engineering) to translate business requirements into technical AI solutions.
  • Ensure data privacy, security, and ethical AI compliance across all deployment models.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Monitor industry trends to identify emerging technologies (e.g., Quantum AI) relevant to our 2026 roadmap.

Qualifications

  • 10+ years of experience in software engineering with a focus on Machine Learning and Artificial Intelligence.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern LLM frameworks (Hugging Face, LangChain).
  • Proven track record of designing large-scale distributed systems in cloud environments (AWS, GCP, or Azure).
  • Strong understanding of MLOps, data pipelines, and model versioning.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Experience leading technical teams in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning LLM NLP MLOps AWS GCP System Architecture AI Strategy

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