Job Description
We are building the foundational infrastructure for the year 2026 and beyond. As a Lead AI Architect within our Horizon Initiative, you will define the trajectory of our next-generation autonomous systems and generative AI platforms.
In this high-impact role, you won't just manage code; you will shape the ethical frameworks and technical paradigms of tomorrow. You will bridge the gap between theoretical breakthroughs and scalable production environments, ensuring our AI solutions are robust, intelligent, and future-proof.
Why this role?
This is a rare opportunity to work at the bleeding edge of technology. We are looking for a leader who is as comfortable discussing quantum computing principles as they are with optimizing transformer models.
Responsibilities
- Architect and lead the development of scalable AI systems capable of processing petabytes of real-time data.
- Define the technical roadmap for 2026, integrating cutting-edge advancements in Neural Interfaces and Generative Models.
- Collaborate with cross-functional teams of physicists, engineers, and ethicists to ensure responsible AI deployment.
- Mentor a team of senior engineers, fostering a culture of innovation and technical excellence.
- Optimize deep learning pipelines to reduce latency and improve inference speeds for edge devices.
- Conduct rigorous code reviews and architectural assessments to maintain system integrity.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field (PhD preferred).
- 10+ years of experience in software engineering, with at least 5 years in leading AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
- Strong background in Natural Language Processing (NLP) and Computer Vision.
- Proven track record of deploying production-grade machine learning models.
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.