Job Description
Are you ready to build the infrastructure for tomorrow? Horizon 2026 is seeking a visionary Senior AI Architect to lead our cutting-edge research division. As we bridge the gap between current machine learning capabilities and future AGI paradigms, you will be at the forefront of defining the technology stack for the next decade.
In this role, you will not just implement existing models; you will design the neural architectures of the future. We are looking for a technical leader who thrives in ambiguity and possesses a deep understanding of scalable systems, quantum-inspired algorithms, and ethical AI deployment.
Why join us?
- Work on projects that define the roadmap for 2026 and beyond.
- Competitive compensation package including equity.
- Flexible remote-first culture with premium office amenities in SF.
Responsibilities
- Design and architect scalable, high-performance AI systems capable of handling petabyte-scale data streams.
- Lead the research and implementation of next-generation neural network architectures (e.g., Transformer variations, Neuro-symbolic AI).
- Collaborate with cross-functional teams to integrate AI models into real-time production environments.
- Establish best practices for model deployment, monitoring, and explainability (XAI).
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Conduct rigorous performance tuning and optimization of inference engines.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- Minimum of 8 years of experience in machine learning engineering and system architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Ray, Kubernetes).
- Proven track record of deploying production-grade AI models at scale.
- Experience with quantum computing libraries (Qiskit, Cirq) or quantum-inspired algorithms is a strong plus.
- Strong understanding of MLOps, CI/CD pipelines, and cloud infrastructure (AWS/GCP).