Job Description
We are looking for a visionary Lead AI Infrastructure Architect to design the backbone of our operations for the 2026 era. As the world accelerates towards autonomous systems and quantum-enhanced computing, your role will be critical in building resilient, scalable, and secure environments for next-generation generative AI models.
At Chronos Tech, we don't just predict the future; we engineer it. You will lead a team of elite engineers in deploying cutting-edge neural networks, optimizing edge computing nodes, and securing data streams against emerging cyber-threat vectors of the near future.
Why Join Us?
- Work on projects that define the technological landscape of 2026.
- Competitive compensation package including equity.
- Access to state-of-the-art labs and hardware.
Responsibilities
- Design and implement high-availability, distributed AI infrastructure capable of handling petabyte-scale data ingestion.
- Lead the migration and integration of neuromorphic computing architectures into existing cloud ecosystems.
- Optimize Large Language Model (LLM) inference pipelines to reduce latency by over 40%.
- Establish security protocols for post-quantum cryptography integration in AI workloads.
- Collaborate with data scientists to translate research into production-ready scalable systems.
- Manage a diverse team of DevOps engineers, ML specialists, and cybersecurity analysts.
Qualifications
- 10+ years of experience in Systems Engineering, DevOps, or Cloud Architecture.
- Deep expertise in Python, Go, and Kubernetes orchestration.
- Proven track record of deploying Generative AI models at scale.
- Experience with cloud platforms (AWS, GCP, or Azure) and serverless computing.
- Familiarity with Quantum Computing interfaces and edge computing protocols.
- Strong background in cybersecurity best practices and compliance (SOC2, HIPAA).