Job Description
About Nexus Horizon:
We are building the infrastructure that will define the year 2026. As a Principal AI Architect, you won't just be maintaining legacy systems; you will be architecting the next generation of artificial intelligence and generative systems that will revolutionize global industries. Join our elite team in the heart of San Francisco and lead the charge into a new era of technology.
Why Join Us?
- Be at the forefront of the AI revolution with direct impact on the 2026 roadmap.
- Work with a world-class team of engineers, researchers, and visionaries.
- Competitive compensation and significant equity opportunities.
Role Overview:
As a Principal AI Architect, you will be responsible for the end-to-end design and implementation of our advanced AI ecosystem. You will bridge the gap between theoretical research and practical deployment, ensuring our solutions are scalable, robust, and visionary.
Responsibilities
- Design and architect scalable AI/ML systems and infrastructure for 2026 readiness.
- Lead research and development initiatives focusing on Generative AI and Large Language Models.
- Define technical roadmaps and strategic direction for our AI product suite.
- Collaborate with cross-functional teams to integrate AI solutions into core business processes.
- Establish best practices, coding standards, and governance frameworks for AI deployment.
- Mentor senior engineers and architects to foster a culture of innovation.
- Advocate for ethical AI practices and data privacy compliance.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
- Proven track record of leading large-scale machine learning projects from conception to production.
- Strong understanding of Deep Learning, Neural Networks, and Natural Language Processing.
- Excellent communication skills with the ability to articulate complex technical concepts to stakeholders.
- Experience with cloud platforms (AWS, GCP, or Azure) in a high-availability environment.