Job Description
Are you ready to engineer the infrastructure of tomorrow? Horizon AI Systems is pioneering the next generation of artificial intelligence, and we are looking for a visionary Senior AI Systems Architect to help define the roadmap for our 2026 initiatives.
In this pivotal role, you will bridge the gap between cutting-edge machine learning research and scalable production systems. You will be responsible for architecting robust, fault-tolerant neural networks that can handle petabytes of data. This is a unique opportunity to work at the intersection of deep learning, cloud computing, and future-forward strategy, directly impacting how technology evolves in the coming years.
Why Join Us?
- Work on high-impact projects that shape the future of AI.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a hub in downtown SF.
Responsibilities
- Design and implement scalable AI architectures that meet the rigorous demands of 2026.
- Lead the migration of legacy models to modern, efficient deep learning frameworks.
- Collaborate with data scientists to optimize model performance and reduce latency.
- Define technical standards and best practices for the AI engineering team.
- Conduct rigorous testing and validation of AI systems to ensure reliability.
- Research emerging trends in quantum computing and edge AI integration.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 5+ years of experience in software engineering and machine learning systems.
- Deep proficiency in Python, C++, and ML frameworks (TensorFlow, PyTorch, JAX).
- Strong understanding of distributed systems, microservices, and cloud infrastructure (AWS, GCP).
- Experience with MLOps, data pipelines, and model deployment strategies.
- Proven track record of leading technical teams and mentoring junior engineers.