Job Description
We are at the precipice of a technological singularity, and Horizon Systems is leading the charge into 2026 and beyond. We are looking for a visionary Chief Future Tech Architect to design the frameworks that will define the next era of human-machine collaboration. This is not just a job; it is a mission to engineer the infrastructure for a smarter, autonomous future.
In this pivotal role, you will bridge the gap between theoretical breakthroughs and scalable production systems. You will oversee the development of next-generation AI agents, quantum-ready algorithms, and autonomous decision-making ecosystems. If you have a passion for pushing the boundaries of what is possible and thrive in an environment of high-stakes innovation, we want to meet you.
Responsibilities
- Architect and deploy scalable AI infrastructure designed to meet the demands of 2026 and beyond.
- Lead the research and development of Generative AI models and autonomous agent frameworks.
- Define the technical roadmap for integrating Quantum Computing with Machine Learning.
- Mentor a team of elite engineers and data scientists to foster a culture of innovation.
- Establish ethical guidelines and safety protocols for sentient technology deployment.
- Collaborate with cross-functional stakeholders to translate complex futuristic concepts into actionable product strategies.
- Optimize system latency and computational efficiency for edge and cloud environments.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of progressive experience in AI/ML architecture and software engineering.
- Deep expertise in Python, Rust, and distributed systems.
- Proven track record of leading high-impact technical projects from conception to deployment.
- Strong understanding of Large Language Models (LLMs) and Generative AI technologies.
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Exceptional strategic thinking and the ability to communicate complex technical ideas to non-technical executives.