Job Description
Are you ready to define the technological landscape of 2026 and beyond? Quantum Horizon Systems is seeking a visionary Senior AI Architect to lead our upcoming strategic initiatives. We are not just building software; we are architecting the future of intelligent infrastructure.
In this pivotal role, you will bridge the gap between theoretical AI research and scalable production systems. You will be responsible for designing the long-term architectural framework that will power our clients' digital transformations through 2026 and into the next decade. If you have a passion for cutting-edge technology and a knack for strategic planning, this is your opportunity to make a lasting impact.
Why Join Us?
- Work with a forward-thinking team focused on the next generation of AI.
- Competitive compensation and equity packages.
- Flexible remote-first policy with a premium office in the heart of SF.
Responsibilities
- Lead the architectural design and implementation of AI-driven solutions aligned with the 2026 strategic roadmap.
- Collaborate with cross-functional teams to define technical standards and best practices for scalable machine learning models.
- Oversee the integration of quantum-ready algorithms into existing cloud infrastructure.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Evaluate emerging technologies (e.g., neuromorphic computing, advanced NLP) to determine their viability for future product development.
- Ensure system scalability, security, and performance across global deployment environments.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep understanding of modern machine learning frameworks (TensorFlow, PyTorch) and distributed systems (Kubernetes, Docker).
- Proven track record of leading high-impact projects from concept to deployment.
- Strong proficiency in Python, Java, or C++ with experience in cloud platforms (AWS, Azure, or GCP).
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
- Master’s degree in Computer Science, Engineering, or a related field is preferred.