Job Description
Shape the Future of Technology with Nexus Horizon Systems
We are on a mission to redefine the technological landscape leading up to 2026. As a Lead AI Architect, you will be at the forefront of designing scalable, intelligent systems that anticipate the needs of the future. This is not just a development role; it is a strategic leadership position focused on the 2026 Horizon.
Join our elite team in San Francisco and build the infrastructure that powers the next generation of AI-driven solutions.
Responsibilities
- Architect 2026-Ready Systems: Design and oversee the deployment of robust, scalable AI and machine learning infrastructure designed to evolve through 2026 and beyond.
- Strategic Roadmap: Define the long-term technical vision for AI integration, ensuring our architecture remains future-proof against emerging technological shifts.
- Team Leadership: Mentor a high-performing engineering team, fostering a culture of innovation, technical excellence, and continuous learning.
- Model Optimization: Lead the research and implementation of advanced deep learning models, focusing on efficiency and accuracy.
- Stakeholder Collaboration: Partner with product managers and C-level executives to translate business goals into technical roadmaps.
- Emerging Tech Analysis: Continuously evaluate new technologies and methodologies to ensure our stack is aligned with the cutting edge of 2026 tech trends.
Qualifications
- Experience: 8+ years of experience in software engineering, with at least 3 years in a senior AI or Machine Learning Architect role.
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field is highly preferred.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems architecture.
- Strategic Thinking: Proven ability to think strategically about the future of technology and translate that vision into actionable technical plans.
- Leadership: Demonstrated success in leading cross-functional teams and managing complex technical projects from conception to delivery.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.