Job Description
Are you ready to architect the future of technology?
Nexus Horizon Labs is pioneering the infrastructure for the next generation of intelligent systems. We are looking for a visionary Future Systems Architect (2026 Tech Lead) to lead the design and implementation of scalable, AI-driven ecosystems. If you thrive on solving complex problems at the intersection of machine learning, cloud computing, and predictive analytics, we want to meet you.
In this role, you will bridge the gap between theoretical AI models and production-ready infrastructure, ensuring our systems are robust, secure, and ready for the demands of 2026 and beyond.
Responsibilities
- Architect Next-Gen Solutions: Design and oversee the deployment of high-performance distributed systems, focusing on AI integration and predictive analytics.
- Neural Network Optimization: Collaborate with data scientists to optimize neural network architectures for real-time processing and edge computing environments.
- Cloud Infrastructure Strategy: Define cloud migration strategies and manage hybrid cloud environments (AWS/Azure) to ensure 99.99% uptime and minimal latency.
- Security & Compliance: Implement rigorous cybersecurity protocols to protect proprietary algorithms and sensitive user data.
- Team Leadership: Mentor a team of senior engineers and developers, fostering a culture of innovation and technical excellence.
- Future-Proofing: Conduct research on emerging technologies (Quantum Computing, Neuromorphic Engineering) and integrate viable solutions into the core tech stack.
Qualifications
- Education: Master’s degree in Computer Science, Engineering, or a related field (Ph.D. preferred).
- Experience: 8+ years of experience in software architecture, with at least 3 years in a lead role within the AI/ML or high-frequency trading sectors.
- Technical Skills: Deep expertise in Python, C++, TensorFlow, PyTorch, and Kubernetes.
- Cloud Mastery: Proven track record designing complex architectures on AWS or Azure.
- Problem Solving: Exceptional ability to troubleshoot complex system failures and optimize system performance under pressure.
- Communication: Ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders.