Job Description
Are you ready to define the technology of tomorrow? Horizon Core Systems is seeking a visionary Lead Architect: Future Tech & 2026 Roadmap to spearhead our strategic initiatives for the next decade. In this pivotal role, you will not just build software; you will architect the foundational frameworks that will dominate the technology landscape in 2026 and beyond.
We are pioneers in the 2026 Niche, focusing on the convergence of Generative AI, Quantum Readiness, and Human-Machine Collaboration. You will work with a world-class team to build the infrastructure that powers the next evolution of the digital economy. If you are passionate about the future and possess the technical depth to make it a reality, we want to meet you.
Why Join Us?
- Impact: Directly influence the roadmap that will shape the industry for years to come.
- Culture: A forward-thinking, inclusive environment that values radical innovation over convention.
- Compensation: Top-of-market salary and equity package for top-tier talent.
Responsibilities
- Architect the 2026 Vision: Design scalable, resilient systems specifically tailored for the technological paradigms of 2026, including advanced AI integration and edge computing.
- Lead Technical Strategy: Define the technical roadmap and architectural standards for Horizon Core Systems, ensuring alignment with long-term business goals.
- Future-Proof Development: Implement microservices and serverless architectures that are resilient to emerging quantum computing threats and latency challenges.
- Cross-Functional Leadership: Mentor senior engineering teams and collaborate with product, design, and research departments to bridge the gap between theoretical innovation and practical application.
- Security & Ethics: Establish governance frameworks for AI ethics, data privacy, and system security in a rapidly evolving digital landscape.
Qualifications
- Technical Mastery: 7+ years of experience in software architecture, with a strong focus on cloud-native technologies (AWS, GCP, or Azure).
- AI Fluency: Deep understanding of Large Language Models (LLMs), neural networks, and the integration of AI into enterprise workflows.
- Future-Ready Skills: Experience with prototyping quantum algorithms or working in highly distributed, edge-computing environments is a major plus.
- Leadership: Proven track record of leading high-performance engineering teams and delivering complex projects on time.
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.