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Information Technology 🏒 Full Time ⭐️ Verified

Future AI Lead: 2026 Visionary Engineer

Quantum Horizon Corp
San Francisco
Estimated Salary
USD 220.000 – USD 300.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are pioneering the next generation of intelligence, and our roadmap culminates in 2026. We are seeking a Future AI Lead to architect the systems that will define the era. This is not just a coding role; it is a strategic mission to build the infrastructure required for the autonomous systems of tomorrow.

As a key member of our Core Engineering team, you will be responsible for the end-to-end lifecycle of our AI models, pushing the boundaries of what is possible while ensuring safety and scalability. You will work in a fast-paced, high-performance environment where your code will impact millions of users globally.

Responsibilities

  • Lead the technical architecture and implementation of AI models designed to support the company's 2026 strategic vision.
  • Research and prototype cutting-edge algorithms in Generative AI, Computer Vision, and Reinforcement Learning.
  • Optimize existing machine learning pipelines for increased speed, accuracy, and energy efficiency.
  • Collaborate with product managers to translate high-level 2026 roadmap goals into concrete technical specifications.
  • Mentor a team of talented data scientists and ML engineers, fostering a culture of technical excellence.
  • Ensure all AI systems adhere to strict ethical guidelines and data privacy regulations.
  • Identify and mitigate risks associated with deploying AI at scale.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 8+ years of experience in software engineering, with at least 4 years specifically in AI/ML research and production deployment.
  • Expert proficiency in Python, C++, and deep learning frameworks (PyTorch or TensorFlow).
  • Proven experience leading cross-functional teams in the development of large-scale AI products.
  • Strong understanding of distributed systems, cloud computing (AWS/Azure), and MLOps practices.
  • Demonstrated ability to think strategically about the long-term implications of AI technology.
  • Exceptional problem-solving skills and a track record of innovation in high-pressure environments.

Required Skills

Python Machine Learning Deep Learning AI Architecture MLOps Cloud Computing Leadership Research

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