Job Description
Are you ready to architect the intelligence of tomorrow? Quantum Horizon AI is seeking a visionary Senior AI Architect to lead our R&D division into the 2026 era of computing. We are building the next generation of generative intelligence, and we need a leader who can bridge the gap between theoretical research and scalable production.
In this pivotal role, you will define the technical roadmap for our proprietary neural networks, ensuring our platforms remain at the forefront of the industry. If you are passionate about the future of AI and want to shape how technology integrates into the fabric of daily life, we want to meet you.
Why Join Us?
- Work with state-of-the-art infrastructure and cutting-edge datasets.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a hub in the heart of San Francisco.
- Opportunity to mentor top-tier engineering talent.
Responsibilities
- Design and implement scalable machine learning pipelines capable of handling petabyte-scale data processing.
- Lead research initiatives focused on Large Language Models (LLMs) and generative adversarial networks (GANs).
- Define the technical vision and architectural standards for AI systems to ensure longevity and scalability.
- Collaborate with cross-functional product teams to translate complex AI capabilities into user-centric features.
- Optimize model performance, reducing latency and increasing inference accuracy.
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 10+ years of experience in software engineering with a focus on Artificial Intelligence and Machine Learning.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Proven track record of deploying production-grade ML models into high-traffic environments.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and MLOps practices.
- Exceptional communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.