Job Description
Are you ready to architect the digital infrastructure of 2026? Nexus Horizon Labs is seeking a visionary Chief AI Architect & Future Systems Strategist to lead our next-generation research initiatives. In this pivotal role, you will define the roadmap for our advanced generative AI ecosystems and quantum-ready neural networks. If you are passionate about pushing the boundaries of what is possible in technology and want to build the systems that will define the future, we want to hear from you.
We are a cutting-edge research firm focused on the convergence of Artificial General Intelligence (AGI) and sustainable computing. We offer a competitive benefits package, including equity options, flexible remote-first policies, and access to our proprietary research labs.
Responsibilities
- Strategic Vision: Define and execute the long-term technical vision for AI system architecture, ensuring alignment with the company's 2026 roadmap.
- Model Development: Lead the design and implementation of state-of-the-art Large Language Models (LLMs) and multimodal AI systems.
- System Optimization: Oversee the optimization of neural network training pipelines and inference engines for edge and cloud environments.
- Ethical Frameworks: Establish and enforce rigorous ethical guidelines and safety protocols for autonomous AI agents.
- Team Leadership: Mentor a world-class team of machine learning engineers, data scientists, and quantum researchers.
- Collaboration: Partner with cross-functional teams to integrate AI solutions into consumer and enterprise products seamlessly.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field from a top-tier institution.
- Experience: 10+ years of experience in software engineering, with at least 5 years in a senior AI or ML architecture role.
- Technical Expertise: Deep proficiency in Python, C++, and TensorFlow/PyTorch frameworks. Experience with quantum computing libraries is a strong plus.
- Architecture: Proven track record of designing scalable, fault-tolerant distributed systems for high-performance computing.
- Leadership: Demonstrated ability to lead high-performing teams and drive technical strategy in fast-paced environments.
- Innovation: A deep understanding of current trends in Generative AI, Reinforcement Learning, and Neural Architecture Search.