Job Description
We are on the precipice of a technological revolution, and Quantum Horizon Labs is leading the charge. We are seeking a visionary Principal AI Architect to define the technical roadmap for 2026 and beyond. In this high-impact role, you will bridge the gap between cutting-edge research and scalable enterprise solutions, ensuring our platforms remain at the forefront of Artificial Intelligence.
As we look toward the future, we need a leader who can envision the next generation of intelligent systems. You will be responsible for architecting robust, secure, and scalable AI infrastructure that powers our global operations.
Why Join Us?
- Work on the frontier of technology with a team of world-class engineers and researchers.
- Shape the strategic direction of AI development for the 2026 era.
- Competitive compensation and equity package in a high-growth environment.
Responsibilities
- Architect and lead the development of next-generation Machine Learning pipelines and scalable infrastructure for the 2026 roadmap.
- Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
- Define best practices for model training, deployment, and monitoring in cloud environments.
- Mentor senior engineers and architects, fostering a culture of technical excellence and innovation.
- Evaluate emerging technologies and frameworks to ensure our stack remains future-proof.
- Oversee the security and ethical implications of AI deployment, ensuring compliance with global standards.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
- 10+ years of experience in software engineering, with 5+ years specifically in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and large language model (LLM) architectures.
- Proven track record of designing distributed systems and cloud-native solutions (AWS/GCP/Azure).
- Strong leadership skills with experience managing technical teams and driving strategic initiatives.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.