Job Description
Shape the Future of Intelligence. Nexus Horizon is seeking a visionary Senior AI Architect to lead our groundbreaking research division. We are not just building software for today; we are architecting the core infrastructure for the year 2026 and beyond. If you are passionate about the intersection of deep learning, scalable cloud architecture, and futuristic problem-solving, this is your opportunity to define the next generation of AI.
Why Join Us?
We are a high-growth, stealth-mode startup backed by top-tier venture capital. Our mission is to deploy autonomous AI systems capable of solving complex global challenges. You will work in a culture of radical transparency and continuous innovation, reporting directly to the CTO.
Responsibilities
- Architect Future-Proof Systems: Design and implement scalable AI infrastructure pipelines designed to handle exabytes of data by 2026.
- Lead Research & Development: Spearhead the development of next-gen machine learning models, focusing on generative AI and neural networks.
- Technical Mentorship: Guide a team of elite engineers and data scientists, fostering a culture of technical excellence and rapid prototyping.
- Strategic Roadmapping: Define the technical vision and roadmap, ensuring alignment with long-term business objectives and industry trends.
- Cross-Functional Collaboration: Partner with product and engineering teams to translate complex AI capabilities into user-centric products.
- Performance Optimization: Oversee the deployment and optimization of models to ensure real-time latency and high availability.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field from a top-tier university.
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Technical Mastery: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
- Leadership: Proven track record of leading engineering teams and managing large-scale technical projects.
- Innovation: A demonstrated history of publishing research papers or patenting novel algorithms.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.