Job Description
Shape the Future of Technology
Chronos Tech Systems is at the forefront of the next wave of innovation. As we prepare for the 2026 era of computing, we are seeking a visionary Lead AI Architect to define our core infrastructure and machine learning strategies. You will be responsible for architecting scalable, high-performance AI systems that push the boundaries of what is possible today.
We are looking for a leader who is not just comfortable with the status quo but is obsessed with the bleeding edge of technology. If you are passionate about building the systems that will power the future, we want to hear from you.
Why Join Us?
- Next-Gen Technology: Work on cutting-edge projects that define the 2026 tech landscape.
- Competitive Compensation: Comprehensive benefits package including health, dental, and vision.
- Equity Opportunity: Be a part of the ownership growth.
- Remote-First Culture: Flexible work environment with global collaboration.
Responsibilities
- Architect and deploy scalable machine learning models and neural networks for high-volume applications.
- Lead a team of data scientists and engineers in research and development of next-gen AI algorithms.
- Collaborate with cross-functional product teams to translate business requirements into technical solutions.
- Ensure the security, privacy, and ethical use of AI data and models.
- Oversee cloud infrastructure (AWS/Azure) optimization and cost management.
- Define technical roadmaps and stay ahead of industry trends in AI and quantum computing.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering and machine learning architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and major ML frameworks.
- Proven experience designing systems capable of handling petabyte-scale data.
- Strong background in cloud-native architecture and containerization (Kubernetes, Docker).
- Excellent leadership and communication skills with a track record of mentoring technical teams.