Job Description
We are building the technology stack for the year 2026 and beyond. As a 2026 Future-Ready AI Architect at Horizon Systems, you will not just write code; you will define the architectural standards for scalable, intelligent systems that will power the next decade of innovation.
In this pivotal role, you will bridge the gap between theoretical AI advancements and practical, high-performance engineering. We are looking for a visionary who understands the long-term implications of today's technological decisions. If you are passionate about shaping the future and have a knack for solving complex, large-scale problems, we want to meet you.
Responsibilities
- Architect and design scalable, future-proof AI infrastructure capable of handling 2026-scale data volumes.
- Lead the integration of emerging AI models and machine learning pipelines into core production environments.
- Conduct technical research to evaluate new technologies, ensuring Horizon Systems remains ahead of the curve.
- Mentor junior engineers and senior staff alike, fostering a culture of innovation and continuous learning.
- Collaborate with product and business leaders to translate 2026 vision into technical roadmaps.
- Ensure system security, reliability, and performance standards are met across all AI deployments.
Qualifications
- 10+ years of experience in software engineering, with a focus on AI, Machine Learning, or distributed systems.
- Deep expertise in Python, Go, or Rust, with a strong understanding of system architecture.
- Proven experience designing and deploying Large Language Models (LLMs) and generative AI solutions.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Strong problem-solving skills and the ability to think strategically about long-term product viability.
- Advanced degree in Computer Science, Artificial Intelligence, or a related technical field.