Job Description
We are seeking a visionary Futuristic AI Architect to lead the development of next-generation autonomous systems for the year 2026 and beyond. At Apex Horizon, we are building the infrastructure for tomorrow's digital reality. You will be responsible for designing scalable neural architectures and optimizing deep learning models for high-velocity environments. If you are passionate about the bleeding edge of technology and want to define the standards of the future, this is your opportunity to shape the trajectory of AI evolution.
Why Join Us?
- Work on cutting-edge projects that define the future of technology.
- Competitive compensation package including equity options.
- Flexible remote-first culture with a collaborative San Francisco hub.
Responsibilities
- Architect and deploy scalable AI infrastructure capable of handling petabyte-scale data processing.
- Lead the research and implementation of Generative AI models tailored for enterprise solutions.
- Optimize neural networks for edge computing devices to ensure real-time performance in 2026 environments.
- Collaborate with cross-functional teams to integrate AI solutions into broader software ecosystems.
- Establish best practices for model governance, security, and ethical AI usage.
- Mentor junior engineers and conduct technical reviews to maintain high engineering standards.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 7+ years of experience in software engineering, with at least 3 years specializing in Machine Learning and Deep Learning.
- Extensive proficiency in Python, PyTorch, TensorFlow, and modern GPU acceleration libraries.
- Proven track record of deploying large-scale models in production environments.
- Strong understanding of cloud architecture (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Experience with NLP, Computer Vision, or Reinforcement Learning is highly preferred.