Job Description
We are building the technological foundation for the year 2026 and beyond. At Chronos Systems, we don't just predict the future; we engineer it. We are looking for a visionary Senior AI Architect to lead our next-generation initiative, focusing on scalable, autonomous systems and quantum-ready neural networks.
In this pivotal role, you will design the architecture for our flagship product, ensuring it remains at the cutting edge of artificial intelligence. You will bridge the gap between theoretical research and production-grade engineering, working with a team of elite engineers to solve complex problems that define the future of tech.
Why join us?
- Work on projects that directly impact the trajectory of global AI infrastructure.
- Competitive compensation package including equity and performance bonuses.
- Flexible remote-first culture with premium San Francisco office access.
- Access to the latest hardware and research tools.
Responsibilities
- Architect Next-Gen Systems: Design and implement scalable AI architectures capable of processing petabytes of data in real-time for the 2026 roadmap.
- Quantum Integration: Oversee the integration of quantum computing principles into classical neural networks to enhance processing power.
- Model Optimization: Lead efforts in model pruning, quantization, and edge deployment to ensure latency-free performance across all devices.
- Research & Development: Stay ahead of the curve by researching emerging paradigms in Generative AI and Reinforcement Learning.
- Mentorship: Guide a team of brilliant engineers and data scientists, fostering a culture of innovation and continuous learning.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- Experience: 8+ years of professional experience in machine learning, deep learning, and system architecture.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, Apache Spark).
- Language Model Expertise: Proven track record of designing Large Language Model (LLM) fine-tuning pipelines and RAG architectures.
- Problem Solving: Exceptional ability to troubleshoot complex system bottlenecks and architectural failures under pressure.