Job Description
Are you ready to define the technological landscape of 2026?
Chronos Systems is at the forefront of innovation, building the neural architectures that will power the next generation of digital intelligence. We are seeking a visionary Senior AI Architect to lead our R&D division in San Francisco. This is a rare opportunity to shape the roadmap for 2026 and beyond, bridging the gap between theoretical artificial general intelligence and scalable, practical enterprise solutions.
If you thrive on solving unsolved problems and want to leave a legacy in the future of tech, we want to hear from you.
Responsibilities
- Architect the Future: Design and implement cutting-edge machine learning frameworks tailored for 2026 computational standards, focusing on quantum-inspired algorithms.
- Roadmap Leadership: Define the technical vision for the 2026 product cycle, ensuring scalability, efficiency, and ethical AI integration.
- Cross-Functional Collaboration: Partner with product managers and data scientists to translate complex theoretical models into deployable software products.
- Optimization: Oversee the optimization of large-scale neural networks to ensure low-latency processing in real-time environments.
- Technical Mentorship: Lead a team of junior engineers and researchers, fostering a culture of continuous learning and innovation.
- Security & Ethics: Establish protocols for secure AI deployment and ensure compliance with emerging global data privacy regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
- Experience: Minimum of 7+ years of professional experience in software engineering and machine learning.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
- Future-Proofing: Demonstrated experience with cutting-edge technologies, including Large Language Models (LLMs) and Generative AI.
- Leadership: Proven track record of leading high-performance engineering teams and managing complex technical projects.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.