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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Strategic Vision

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our 2026 strategic roadmap. At Quantum Horizon Labs, we are building the computational infrastructure for tomorrow. This is a rare opportunity to define the next generation of Artificial Intelligence and shape the technological landscape for the coming decade.

In this pivotal role, you will bridge the gap between theoretical AI research and scalable production systems. You will be responsible for architecting the core models that will drive our enterprise solutions, ensuring they are robust, ethical, and future-proof. If you are passionate about the trajectory of technology and want to be at the helm of the 2026 AI revolution, we want to meet you.

Why Join Us?

  • Work on cutting-edge Generative AI and Quantum-Ready systems.
  • Competitive equity package and performance bonuses.
  • Flexible remote-first culture with a premium office in SF.

Responsibilities

  • Architect and implement high-performance AI systems aligned with our 2026 strategic vision.
  • Lead the design of proprietary Large Language Models (LLMs) and neural network architectures.
  • Collaborate with cross-functional teams to integrate AI solutions into consumer and enterprise products.
  • Ensure data privacy, algorithmic bias mitigation, and ethical AI compliance standards.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Stay ahead of industry trends, specifically focusing on advancements expected to mature by 2026.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in software engineering and machine learning, with at least 5 years in a lead architectural role.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of deploying scalable ML models into production environments.
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Architecture Kubernetes AWS Data Engineering Agile Methodologies

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