Job Description
Join the Architects of Tomorrow.
Quantum Horizon Solutions is at the forefront of the technological revolution. As we prepare for the transformative year of 2026, we are seeking a visionary Senior AI Architect to lead our core infrastructure development. You will not just build systems; you will define the future of intelligent automation and predictive analytics.
In this role, you will bridge the gap between theoretical AI models and scalable production environments. We are looking for a leader who thrives on complexity and is passionate about ethical, high-performance AI systems.
Why Join Us?
- Work on next-generation generative AI models.
- Competitive compensation package and equity options.
- Remote-first culture with flexible hours.
- Opportunity to set the technical standards for 2026.
Responsibilities
- Design and implement scalable, high-availability AI infrastructure capable of supporting enterprise-level workloads.
- Lead the architecture of large-scale neural networks and deep learning pipelines.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
- Oversee the deployment of AI models, ensuring optimal performance, latency, and accuracy in production environments.
- Establish best practices for data governance, model security, and ethical AI usage.
- Mentor junior architects and engineers, fostering a culture of innovation and technical excellence.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- Minimum of 5+ years of experience in AI architecture, machine learning engineering, or a similar technical leadership role.
- Extensive proficiency in programming languages such as Python, C++, or Java, with deep knowledge of frameworks like PyTorch or TensorFlow.
- Strong understanding of distributed systems, cloud platforms (AWS, Azure, or GCP), and containerization technologies (Docker, Kubernetes).
- Proven track record of deploying successful AI/ML products to market.
- Experience with MLOps tools and continuous integration/continuous deployment (CI/CD) pipelines.