Job Description
Are you ready to build the future?
Chronos Tech is pioneering the next generation of artificial intelligence infrastructure. We aren't just coding for today; we are architecting the systems that will define the year 2026 and beyond. As a Senior AI Architect, you will lead a world-class team in designing scalable, quantum-ready neural networks and ethical AI frameworks.
We are looking for a visionary engineer who thrives in ambiguity and possesses the technical prowess to turn theoretical breakthroughs into production-ready reality. Join us in shaping the trajectory of human-machine collaboration.
Why join Chronos Tech?
- Impactful Work: Build core technologies that will power the next decade of innovation.
- Future-Proof Tech Stack: Work with cutting-edge tools, including next-gen GPU clusters and decentralized compute networks.
- Unlimited PTO & Equity: We believe in rewarding our pioneers with generous benefits and stock options.
Responsibilities
- Design and architect high-performance AI infrastructure capable of processing exabytes of data.
- Lead the R&D strategy for integrating quantum computing principles into classical machine learning models.
- Collaborate with cross-functional teams (Product, Engineering, Ethics) to define technical roadmaps for 2026.
- Mentor junior architects and engineers, fostering a culture of innovation and continuous learning.
- Optimize model inference latency and improve cost-efficiency at scale.
- Ensure compliance with global data privacy and AI governance standards.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
- 10+ years of experience in software engineering, with 5+ years specifically in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, or equivalent frameworks.
- Proven track record of deploying large-scale production ML systems (e.g., serving billions of requests).
- Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Kubernetes/Docker).
- Experience with edge computing and real-time data processing pipelines.