Job Description
Are you a visionary engineer ready to define the technological landscape of tomorrow?
Horizon 2026 Labs is pioneering the next generation of autonomous systems and predictive intelligence. We are looking for a visionary Senior AI Architect to lead our research and development division. In this role, you will design the algorithms that will power our platform for the next decade. If you are passionate about pushing the boundaries of what is possible with Large Language Models and Neural Networks, we want to hear from you.
You will work in a high-performance environment, collaborating with world-class researchers and engineers to deliver scalable, secure, and efficient AI solutions.
Horizon 2026 Labs is pioneering the next generation of autonomous systems and predictive intelligence. We are looking for a visionary Senior AI Architect to lead our research and development division. In this role, you will design the algorithms that will power our platform for the next decade. If you are passionate about pushing the boundaries of what is possible with Large Language Models and Neural Networks, we want to hear from you.
You will work in a high-performance environment, collaborating with world-class researchers and engineers to deliver scalable, secure, and efficient AI solutions.
Responsibilities
- Architect and deploy scalable AI models and neural networks for production environments.
- Lead the R&D strategy for next-gen generative AI and predictive analytics tools.
- Optimize existing algorithms for speed, accuracy, and resource efficiency.
- Mentor and guide junior engineers and data scientists within the team.
- Collaborate with cross-functional product teams to translate business requirements into technical solutions.
- Ensure data integrity, security, and compliance with industry standards.
Qualifications
- Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related field.
- Minimum of 5+ years of professional experience in AI/ML architecture and development.
- Deep expertise in Python, TensorFlow, PyTorch, and modern machine learning frameworks.
- Strong understanding of distributed systems, cloud infrastructure (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Experience with NLP, Computer Vision, or Reinforcement Learning is highly preferred.
- Proven track record of leading technical projects from conception to deployment.