Job Description
Are you ready to architect the reality of 2026?
Chronos Future Systems is at the forefront of next-generation intelligence. We are looking for a visionary Lead AI Architect to spearhead our research and development efforts for the 2026 product cycle. In this role, you won't just build models; you will define the ethical frameworks, scalability standards, and neural architectures that will power the future of human-machine interaction.
You will work in a high-performance environment alongside PhD researchers and senior engineers to solve problems that don't exist yet. If you are passionate about the intersection of generative AI, spatial computing, and autonomous systems, we want to meet you.
Responsibilities
- Architect Next-Gen Neural Networks: Design and deploy advanced deep learning models capable of real-time spatial reasoning and multi-modal understanding.
- Lead R&D Strategy: Define the technical roadmap for the 2026 roadmap, identifying emerging technologies like neuromorphic computing and edge AI.
- Optimize for Scale: Ensure AI systems can handle petabyte-scale data streams with sub-millisecond latency.
- Ethical AI Governance: Establish and enforce guidelines for bias mitigation, transparency, and safety in automated decision-making systems.
- Cross-Functional Leadership: Mentor a team of ML engineers and data scientists, fostering a culture of innovation and rapid prototyping.
- System Integration: Integrate AI cores with cloud infrastructure and hardware edge devices seamlessly.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 7+ years of professional experience in Machine Learning and Deep Learning architecture.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Kubernetes, Ray).
- Innovation: Proven track record of delivering cutting-edge AI solutions in a fast-paced, startup environment.
- Communication: Exceptional ability to translate complex technical concepts for non-technical stakeholders.
- Future-Proof Mindset: Deep interest in emerging technologies, specifically those relevant to the 2026 technological landscape.