Job Description
Are you ready to define the trajectory of technology for the next decade? Chronos 2026 is a pioneering research lab focused on developing the next generation of Autonomous Intelligence Systems. We are not just building for today; we are architecting the foundational technologies that will power the world in 2026 and beyond.
We are seeking a visionary Senior AI Architect to lead our research division. In this role, you will bridge the gap between theoretical AI breakthroughs and scalable production systems. You will work alongside world-class engineers and futurists to solve problems that have never been solved before.
Why Join Chronos 2026?
- Work on cutting-edge projects that define the future.
- Competitive compensation and equity packages.
- Flexible remote-first culture with top-tier equipment.
If you are passionate about the convergence of Machine Learning, Quantum Computing, and Human-AI interaction, we want to hear from you.
Responsibilities
- Architect and design scalable AI systems capable of processing exabytes of data in real-time.
- Lead the research and development of next-generation Natural Language Processing (NLP) models.
- Collaborate with cross-functional teams to integrate AI solutions into consumer and enterprise products.
- Mentor junior architects and data scientists, fostering a culture of innovation and technical excellence.
- Define technical roadmaps and ensure best practices in code quality and system architecture.
- Stay ahead of industry trends in AI, specifically focusing on advancements relevant to the 2026 landscape.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
- Proven track record of leading high-impact technical projects from conception to deployment.
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Strong leadership skills with the ability to communicate complex technical concepts to non-technical stakeholders.