Job Description
Are you ready to define the landscape of 2026 and beyond? Horizon 2026 Labs is seeking a visionary Future-Ready AI & Automation Architect to lead our Research and Development division.
In this pivotal role, you won't just implement current technologies; you will architect the solutions that will dominate the global market in 2026. We are looking for a forward-thinker who understands the trajectory of Generative AI, Quantum Computing, and Sustainable Tech.
Join us in building the infrastructure of tomorrow, today. This is an opportunity to shape the future of enterprise automation.
Responsibilities
- Design scalable, AI-driven architectures capable of handling next-gen data volumes and real-time processing.
- Predict and integrate emerging technologies (e.g., AGI, Edge Computing, Autonomous Systems) into existing infrastructure.
- Lead the strategic roadmap for migrating legacy systems to 2026-ready frameworks and Web 4.0 standards.
- Collaborate with cross-functional teams to implement predictive automation workflows that enhance operational efficiency.
- Establish best practices for security, ethics, and compliance in advanced AI deployments.
- Conduct feasibility studies for experimental technologies and prototype next-generation software solutions.
- Mentor junior architects and engineering teams in future-tech methodologies.
Qualifications
- 10+ years of experience in software architecture, systems engineering, and AI implementation.
- Proven track record of leading complex digital transformations in high-growth environments.
- Deep expertise in Python, TensorFlow, PyTorch, and modern cloud-native architectures (AWS, Azure, GCP).
- Familiarity with ethical AI frameworks, data governance, and regulatory compliance (GDPR, CCPA).
- Strong ability to think strategically about long-term tech trends and market shifts (3-5 year horizon).
- Experience with large language models (LLMs) and generative adversarial networks (GANs).
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.