Job Description
We are looking for a visionary Senior AI Architect 2026 to lead the next generation of autonomous systems. At QuantumFlow Systems, we are preparing for the technological paradigm shift of 2026, focusing on Agentic AI and Edge Computing. You will be responsible for designing scalable neural architectures that redefine human-computer interaction.
About the Role
In this high-impact position, you will bridge the gap between theoretical machine learning research and production-grade deployment. You will work alongside top-tier engineers to build systems that are not just intelligent, but adaptable and secure in a decentralized web environment.
Why Join Us?
• Competitive salary and equity package.
• Remote-first culture with hubs in SF and NYC.
• Access to cutting-edge GPU clusters and research grants.
• Professional development budget of $10,000/year.
Core Responsibilities
Responsibilities
- Architect and deploy scalable deep learning models for real-time decision making.
- Lead the research and implementation of Reinforcement Learning (RL) agents.
- Optimize inference pipelines for latency and cost efficiency.
- Mentor junior engineers and establish coding standards for AI projects.
- Collaborate with security teams to ensure AI safety and ethical compliance.
- Publish research papers and contribute to open-source AI communities.
Qualifications
- M.S. or Ph.D. in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in Machine Learning and Deep Learning.
- Strong proficiency in Python, PyTorch, and TensorFlow.
- Experience with distributed computing systems (Kubernetes, AWS, GCP).
- Proven track record of deploying models in production environments.
- Familiarity with LLM fine-tuning and RAG architectures.