Job Description
We are seeking a visionary Senior AI Architect to lead our core research division in preparing for the technological landscape of 2026. At Chronos Systems, we are building the autonomous systems that will define the next decade of human evolution. This is not just a coding role; it is an opportunity to shape the future of Artificial General Intelligence (AGI) and its integration into the enterprise.
As a pioneer in the 2026 Niche, you will be responsible for designing the scalable infrastructure for next-generation Generative Models and Agentic Workflows. You will work at the intersection of theoretical physics, deep learning, and software engineering to create systems that are not only intelligent but also adaptable, ethical, and resilient.
Why Join Us?
We offer the agility of a startup with the resources of a global enterprise. You will have direct access to executive leadership and the autonomy to drive high-impact technical decisions.
Responsibilities
- Design and implement the foundational architecture for autonomous AI agents capable of complex, multi-step reasoning.
- Lead the development and optimization of Large Language Models (LLMs) specifically tuned for 2026 enterprise use cases.
- Establish and enforce rigorous standards for data privacy, security, and ethical AI deployment.
- Collaborate with cross-functional teams (Product, Legal, and UX) to translate futuristic concepts into deployable solutions.
- Mentor and cultivate a high-performance team of machine learning engineers and data scientists.
- Research and prototype emerging technologies such as Quantum Machine Learning integration and Neuromorphic computing.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 10+ years of experience in software engineering, with at least 5 years focused on AI/ML infrastructure and architecture.
- Deep proficiency in Python, PyTorch, or TensorFlow, with experience in building systems from scratch.
- Strong background in Distributed Systems, Cloud Computing (AWS/GCP/Azure), and Kubernetes.
- Proven track record of leading technical teams through complex, ambiguous challenges.
- Experience with Reinforcement Learning (RL), Federated Learning, or Edge AI is highly preferred.