Job Description
Are you ready to build the technology that will define the year 2026? Chronos Future Tech is pioneering the next generation of Artificial General Intelligence (AGI) and is looking for a visionary Lead AI Architect to join our core engineering team.
In this role, you won't just be maintaining existing systems; you will be architecting the foundational infrastructure for a future where AI seamlessly integrates with quantum computing and decentralized networks. We are looking for a technical leader who is obsessed with scalability, efficiency, and the ethical implications of future tech.
What You Will Do:
• Design Future-Proof Architectures: Build scalable ML systems specifically engineered for the hardware and data paradigms of 2026.
• Lead R&D Initiatives: Spearhead the development of proprietary algorithms that push the boundaries of generative AI.
• Optimize for the Edge: Architect solutions that function efficiently on next-gen edge computing devices.
• Drive Technical Strategy: Define the technical roadmap and standards for a rapidly evolving AI landscape.
Responsibilities
- Lead System Design: Design and implement robust, fault-tolerant machine learning infrastructure capable of handling exabyte-scale data.
- Pioneering Research: Conduct research into 2026-ready technologies, including neuromorphic computing and synthetic data generation.
- Team Leadership: Mentor a high-performing team of Senior ML Engineers and Data Scientists, fostering a culture of innovation and technical excellence.
- Performance Tuning: Optimize model inference speeds and resource utilization to maximize ROI on hardware investments.
- Cross-Functional Collaboration: Work closely with product and security teams to ensure AI solutions align with business goals and compliance standards.
- Code Review & Standards: Establish and enforce rigorous coding standards and architectural patterns across the organization.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative field.
- Experience: 8+ years of professional experience in software engineering and machine learning, with at least 3 years in a lead or architect role.
- Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, and Rust. Experience with distributed computing frameworks (Kubernetes, Ray).
- Futuristic Knowledge: Strong understanding of emerging tech trends for 2026, including quantum computing basics and advanced edge AI.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems with scalable, elegant solutions.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and leadership.