Job Description
We are seeking a visionary Future-Tech Systems Architect (2026) to lead the architectural evolution of our next-generation AI infrastructure. In this pivotal role, you will bridge the gap between theoretical quantum computing concepts and practical deployment, ensuring our systems are resilient, scalable, and future-proof for the decade ahead. You will define the standards for our software ecosystem, optimizing for performance in a post-silicon computing environment.
Why Join Us?
At Horizon AI Labs, we are not just building software; we are architecting the digital reality of 2026 and beyond. You will work with a team of elite engineers and researchers to solve the world's most complex computational problems.
Responsibilities
- Design and implement scalable, distributed systems architecture capable of handling next-gen AI workloads and quantum integration.
- Lead the migration strategy from traditional cloud infrastructure to next-generation edge computing nodes.
- Define and enforce software development standards, code reviews, and architectural patterns for the 2026 roadmap.
- Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
- Optimize system performance, security, and reliability metrics to meet enterprise-grade SLAs.
- Prototype and validate emerging technologies, including neuromorphic computing interfaces.
Qualifications
- Master’s or PhD in Computer Science, Electrical Engineering, or a related field.
- 10+ years of professional experience in Systems Architecture, with at least 5 years in a leadership role.
- Deep understanding of cloud-native technologies (AWS, Azure, or GCP) and container orchestration (Kubernetes).
- Proven experience with AI/ML infrastructure and high-performance computing environments.
- Strong proficiency in Python, Go, or Rust.
- Experience with quantum programming frameworks and simulation tools is a major plus.