Job Description
We are pioneering the infrastructure for the Artificial General Intelligence (AGI) era. The 2026 Horizon Project is our flagship initiative to redefine human-machine interaction through next-generation neural architectures.
We are seeking a visionary Lead AI Architect to join our elite engineering division. You will be responsible for designing the core neural frameworks that will power the next decade of technological evolution. If you are passionate about pushing the boundaries of what is possible in machine learning and want to leave a lasting legacy in the tech world, we want to hear from you.
Why Join Us?
• Work on the bleeding edge of AI development
• Competitive equity package and salary
• Top-tier benefits and remote-first flexibility
Responsibilities
- Design and architect scalable, high-performance neural network architectures for the 2026 Horizon ecosystem.
- Lead the research and development of novel Deep Learning algorithms to improve inference speed and accuracy.
- Mentor a team of senior AI engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with cross-functional teams including product managers, security experts, and UX designers.
- Define technical roadmaps and ensure best practices in MLOps and model deployment.
- Stay ahead of industry trends, particularly in Generative AI and Transformer models.
- Oversee the evaluation of model performance and drive continuous optimization strategies.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- 10+ years of professional experience in software engineering and machine learning.
- Extensive experience with Python, PyTorch, TensorFlow, and C++.
- Proven track record of deploying large-scale machine learning models into production environments.
- Strong understanding of distributed systems, cloud computing (AWS/GCP/Azure), and Kubernetes.
- Experience with NLP, Computer Vision, or Reinforcement Learning is highly preferred.
- Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.