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Information Technology 🏒 Full Time ⭐️ Verified

2026 AI Innovation Lead

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

Job Description

Architecting the Future of Intelligence.

Quantum Horizon is at the forefront of the 2026 technological revolution. We are building the systems that will define the next era of human-machine interaction. As our 2026 AI Innovation Lead, you will not just be maintaining existing systems; you will be pioneering the next generation of artificial general intelligence and autonomous agents.

We are looking for a visionary leader who thrives on ambiguity and possesses the technical depth to turn futuristic concepts into reality. You will be responsible for setting the technical direction for our AI research division, ensuring we are years ahead of the curve.

Responsibilities

  • Define the 2026 Roadmap: Lead the strategic vision for our AI research, identifying key emerging technologies and methodologies for the 2026 timeframe.
  • Pioneering AI Architecture: Design and deploy cutting-edge large-scale neural networks and reinforcement learning systems that push the boundaries of current capabilities.
  • Technical Evangelism: Present complex technical concepts to executive leadership and stakeholders, articulating the value and feasibility of our innovation initiatives.
  • Talent Acquisition & Mentorship: Build and mentor a world-class team of AI researchers and engineers, fostering a culture of continuous learning and excellence.
  • System Scalability: Ensure that AI infrastructures are robust, secure, and scalable to handle petabyte-scale data streams.
  • Cross-Functional Collaboration: Work closely with product and engineering teams to integrate advanced AI models into consumer-facing applications.

Qualifications

  • Foundational Knowledge: PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Leadership Experience: 5+ years of experience in a technical leadership role, with a proven history of delivering complex AI projects.
  • Technical Mastery: Extensive experience with deep learning frameworks (PyTorch, TensorFlow), MLOps, and distributed computing systems.
  • Innovation Mindset: Demonstrated ability to research and implement novel algorithms, particularly in areas such as Generative AI or Neural Symbolic AI.
  • Communication: Exceptional ability to communicate complex technical strategies to diverse audiences, including non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow MLOps Leadership Strategic Planning Cloud Computing

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