Job Description
Are you ready to architect the future?
Horizon 2026 is at the forefront of next-generation artificial intelligence. We are building the foundational systems that will power the digital world of 2026 and beyond. We are seeking a visionary Senior AI Architect to lead the development of our proprietary neural networks and predictive intelligence platforms.
In this role, you will bridge the gap between theoretical AI research and scalable production engineering. You will work with a world-class team of data scientists and engineers to solve complex problems in real-time decision making and autonomous systems.
If you are passionate about pushing the boundaries of what is possible with machine learning and want to be part of a company named for the future, we want to hear from you.
Responsibilities
- System Architecture: Design and implement scalable, high-performance AI infrastructure capable of handling petabyte-scale data streams.
- Model Development: Lead the research and deployment of state-of-the-art deep learning models, focusing on LLMs and generative AI.
- Optimization: Engineer systems for low-latency inference and high throughput, optimizing models for edge computing environments.
- Collaboration: Work closely with cross-functional teams including product managers, UX designers, and backend developers to integrate AI seamlessly into our ecosystem.
- Mentorship: Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation within the team.
- Research: Stay ahead of industry trends and contribute to internal patent applications regarding future-proof AI methodologies.
Qualifications
- Experience: 7+ years of experience in software engineering, with at least 4 years specifically focused on AI/ML architecture.
- Technical Stack: Proficiency in Python, C++, and modern deep learning frameworks such as PyTorch or TensorFlow.
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field is strongly preferred.
- Distributed Systems: Strong understanding of distributed computing, microservices architecture, and cloud platforms (AWS/GCP/Azure).
- Problem Solving: Demonstrated ability to tackle complex, unstructured problems and deliver robust, scalable solutions.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.