Job Description
We are building the infrastructure for the future. As a Senior AI Architect on our 2026 Horizon team, you will define the next generation of artificial intelligence systems that will redefine human potential. We are not just predicting the future; we are architecting it.
In this high-impact role, you will lead the technical vision for our flagship AI initiatives, ensuring our systems are scalable, ethical, and ready for the exponential growth of the next decade.
Core Responsibilities:
- Architect and deploy cutting-edge machine learning models that scale to billions of users.
- Lead the technical roadmap for our 2026 strategic initiatives, integrating emerging technologies.
- Drive innovation in deep learning, natural language processing, and neural-symbolic AI.
- Collaborate with product leaders to translate complex AI capabilities into user-centric experiences.
- Establish best practices for AI ethics, safety, and regulatory compliance.
- Mentor a world-class team of engineers and researchers.
Qualifications:
- PhD or Master’s degree in Computer Science, AI, or a related quantitative field.
- 10+ years of experience in software engineering and machine learning.
- Expert proficiency in Python, C++, and high-performance computing environments.
- Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, and JAX.
- Proven track record of leading large-scale AI projects from conception to production deployment.
- Strong understanding of distributed systems and cloud infrastructure (AWS/GCP).
Responsibilities
- Design and deploy scalable AI/ML architectures capable of handling petabyte-scale data.
- Lead the technical strategy for the 2026 roadmap, integrating emerging technologies like Neuromorphic computing.
- Collaborate with cross-functional teams to translate complex AI concepts into user-centric solutions.
- Mentor junior engineers and foster a culture of innovation.
- Ensure AI systems are compliant with global ethical guidelines and safety protocols.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- 10+ years of experience in software engineering and machine learning.
- Expert proficiency in Python, C++, and high-performance computing languages.
- Deep knowledge of Deep Learning frameworks (TensorFlow, PyTorch, JAX).
- Proven track record of leading large-scale AI projects from concept to production.