Job Description
We are Nexus Horizon Labs, a forward-thinking technology research firm pioneering the interface between human cognition and machine intelligence. We are seeking a visionary Senior AI Architect (2026 Vision) to lead the charge in building the foundational systems that will define the technological landscape of the next decade.
In this role, you will not just be maintaining current systems; you will be architecting the future of technology. You will design scalable, secure, and ethical AI infrastructures that bridge the gap between current capabilities and the projected demands of 2026 and beyond.
Why Join Us?
- Work on the bleeding edge of Generative AI and Autonomous Systems.
- Shape the ethical frameworks of future technology.
- Competitive compensation and equity packages.
- Remote-first culture with headquarters in San Francisco.
Responsibilities
- Architectural Leadership: Design and oversee the implementation of complex AI and machine learning pipelines, focusing on scalability and high-performance computing for the 2026 era.
- Research & Development: Spearhead R&D initiatives in Large Language Models (LLMs), computer vision, and predictive analytics to stay ahead of industry trends.
- System Integration: Integrate AI models into broader cloud infrastructure, ensuring seamless data flow and operational efficiency.
- Mentorship: Guide a team of junior data scientists and engineers, fostering a culture of continuous learning and technical excellence.
- Compliance & Ethics: Establish and enforce AI governance protocols to ensure responsible deployment and bias mitigation.
- Strategic Planning: Collaborate with C-level executives to define long-term technical roadmaps aligned with the company's vision.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field from a top-tier institution.
- Experience: Minimum of 8 years of experience in software engineering and machine learning architecture.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Docker).
- Programming: Proficiency in C++ and Rust for performance-critical applications.
- Domain Knowledge: Strong understanding of NLP, Neural Networks, and Reinforcement Learning.
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.