Job Description
Join the Vanguard of the 2026 Era.
Chronos AI Systems is seeking a visionary Lead AI Architect to spearhead the development of next-generation artificial intelligence frameworks. As we prepare for the technological leap into 2026, you will be at the forefront of designing scalable, secure, and ethically aligned systems that define the future of human-machine interaction.
You will not just build software; you will architect the infrastructure that powers the autonomous economy. We are looking for a pioneer who thrives in ambiguity and possesses the technical mastery to turn futuristic concepts into production-ready realities.
Responsibilities
- Architect Future-Ready Systems: Design and implement high-performance neural network architectures tailored for the demands of 2026, including multimodal learning and predictive autonomy.
- Strategic Roadmapping: Define the technical roadmap for the company's transition to AGI (Artificial General Intelligence) capabilities, ensuring scalability and robustness.
- Leadership & Mentorship: Lead a team of elite engineers and data scientists, fostering a culture of innovation, continuous learning, and technical excellence.
- Research Integration: Translate cutting-edge academic research from top-tier global institutions into practical, deployable production code.
- Cross-Functional Collaboration: Partner with product managers and security experts to ensure AI solutions align with business goals and adhere to rigorous ethical standards.
- Performance Optimization: Continuously refine algorithms to reduce latency and maximize inference efficiency on edge and cloud environments.
Qualifications
- Advanced Education: PhD or Master's degree in Computer Science, Machine Learning, or a related quantitative field.
- Technical Mastery: Deep expertise in Python, C++, and frameworks such as PyTorch, TensorFlow, or JAX.
- Experience: 8+ years of experience in software engineering with a focus on AI/ML, including 3+ years in a leadership or architect role.
- Domain Knowledge: Proven track record of deploying large-scale machine learning models in production environments.
- Problem Solving: Exceptional ability to solve complex, open-ended problems with innovative solutions.
- Communication: Outstanding verbal and written communication skills, capable of articulating complex technical concepts to diverse stakeholders.