Job Description
Are you ready to architect the future of intelligence? Nexus Horizon AI is seeking a visionary Senior AI Architect to lead our Research & Development efforts in building autonomous agentic systems for 2026 and beyond.
In this pivotal role, you will define the technical roadmap for our next-generation Large Language Models (LLMs) and AI agents. You will work at the intersection of theoretical research and practical engineering, ensuring our solutions are scalable, secure, and ethically sound. You will be responsible for guiding a world-class team of engineers in building the infrastructure that powers the next wave of AI applications.
Why Join Us?
- Shape the trajectory of Artificial General Intelligence (AGI).
- Competitive compensation and equity packages.
- Work in a state-of-the-art facility in the heart of San Francisco.
- Flexible remote and hybrid work options.
Responsibilities
- Architect and design scalable, fault-tolerant AI systems capable of handling high-volume, low-latency inference.
- Define the long-term technical strategy for Agentic AI, LLMs, and Reinforcement Learning environments.
- Lead code reviews and mentor senior engineers on best practices in distributed systems and deep learning.
- Collaborate with data scientists and product managers to translate research breakthroughs into production-ready features.
- Ensure compliance with AI safety guidelines, data privacy regulations, and ethical standards.
- Drive the adoption of MLOps practices to improve model lifecycle management and deployment efficiency.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Proven track record of deploying production-grade AI models serving millions of users.
- Strong understanding of MLOps, containerization (Docker/Kubernetes), and cloud infrastructure (AWS/GCP).
- Experience with prompt engineering and fine-tuning large language models.