Job Description
Are you ready to build the infrastructure of the future? Horizon Nexus is seeking a visionary Senior AI Architect to define the technological roadmap for 2026. In this pivotal role, you will bridge the gap between theoretical next-gen AI and scalable production systems, leading a team of elite engineers in San Francisco.
We are not just building software; we are architecting the intelligent systems that will power the global economy in the coming decade. If you have a passion for Generative AI, Autonomous Agents, and Quantum-Ready Cloud Architecture, this is your chance to leave a lasting legacy.
Responsibilities
- Lead the 2026 Strategic Roadmap: Define and execute the technical vision for our upcoming AI infrastructure releases, ensuring alignment with business goals.
- Architect Scalable Systems: Design robust, fault-tolerant systems capable of handling exascale data processing and real-time inference.
- Deep Learning Research: Oversee the integration of cutting-edge models (LLMs, Diffusion, Reinforcement Learning) into core products.
- Talent Development: Mentor junior architects and engineers, fostering a culture of continuous learning and innovation.
- Cross-Functional Collaboration: Partner with product managers and data scientists to translate complex research into deployable features.
- Security & Ethics: Implement rigorous AI governance frameworks to ensure ethical AI deployment and data privacy compliance.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software architecture, with at least 3 years in leading AI/ML initiatives.
- Technical Stack: Proficiency in Python, Rust, or C++; experience with TensorFlow/PyTorch and cloud platforms (AWS/GCP/Azure).
- Leadership: Demonstrated history of leading high-performing engineering teams through complex technical challenges.
- Future-Forward Mindset: Deep understanding of emerging technologies, including LLMs, Computer Vision, and Edge Computing.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.