Job Description
Welcome to the future of technology. Nexus Horizon is seeking a visionary Lead AI Architect to define the infrastructure for the next generation of intelligent systems. As we prepare for the technological landscape of 2026 and beyond, you will lead the charge in integrating cutting-edge generative AI, large language models (LLMs), and autonomous agent frameworks into scalable production environments.
In this pivotal role, you will bridge the gap between theoretical research and practical engineering, ensuring our AI solutions are robust, ethical, and transformative. Join a team of world-class engineers and data scientists dedicated to solving humanity's most complex challenges through advanced artificial intelligence.
Why Join Us?
- Work on mission-critical AI infrastructure.
- Competitive compensation and equity packages.
- Flexible remote-first culture with state-of-the-art offices in San Francisco.
- Continuous learning and development opportunities.
Responsibilities
- Design and architect scalable, high-performance AI systems and machine learning pipelines.
- Lead the research and implementation of next-generation generative models and LLMs.
- Collaborate with cross-functional teams (Product, Engineering, Design) to translate business requirements into technical AI solutions.
- Ensure data privacy, security, and ethical compliance in all AI deployments.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Optimize existing models for speed, accuracy, and cost-efficiency in production environments.
Qualifications
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related field (or equivalent practical experience).
- Minimum of 7+ years of experience in software engineering and machine learning architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Proven track record of deploying large-scale AI models into production.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, dynamic startup environment.