Job Description
Are you ready to build the impossible? Horizon Systems is seeking a visionary Future Tech AI Architect to lead the architectural strategy for Project 2026. As we stand on the precipice of a new era in artificial intelligence, you will define the technical roadmap that merges Generative AI with edge computing to create scalable, secure, and efficient solutions.
We are looking for a pioneer who doesn't just adapt to change but drives it. In this role, you will work alongside world-class researchers and engineers to deploy next-generation neural networks that power our global infrastructure. If you are passionate about the future of technology and want to leave a legacy in the AI landscape, this is your opportunity to shine.
Why Join Us?
• Be part of a high-impact team focused on the future of tech.
• Competitive compensation and equity packages.
• Flexible remote-first culture with state-of-the-art equipment.
We are looking for a pioneer who doesn't just adapt to change but drives it. In this role, you will work alongside world-class researchers and engineers to deploy next-generation neural networks that power our global infrastructure. If you are passionate about the future of technology and want to leave a legacy in the AI landscape, this is your opportunity to shine.
Why Join Us?
• Be part of a high-impact team focused on the future of tech.
• Competitive compensation and equity packages.
• Flexible remote-first culture with state-of-the-art equipment.
Responsibilities
- Define the core technical vision and architecture for Project 2026, ensuring scalability and robustness.
- Lead the design and implementation of large-scale machine learning pipelines and data infrastructure.
- Collaborate with cross-functional teams to integrate AI models into production environments seamlessly.
- Mentor junior engineers and architects, fostering a culture of innovation and technical excellence.
- Ensure system security, compliance, and ethical AI practices across all deployments.
- Research and evaluate emerging technologies to keep Project 2026 at the cutting edge.
Qualifications
- PhD or Master’s degree in Computer Science, AI, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and modern cloud platforms (AWS, GCP, or Azure).
- Proven experience designing and deploying large Language Models (LLMs) and transformer architectures.
- Strong understanding of distributed systems, microservices, and containerization (Kubernetes/Docker).
- Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.