Job Description
Are you ready to shape the future of technology? Chronos Systems is currently seeking a visionary Lead AI Architect to spearhead our elite Project 2026 initiative.
Our mission is to architect the next generation of Artificial General Intelligence by the target year of 2026. In this high-impact role, you will define the technical vision, build scalable neural networks, and lead a team of world-class engineers. This is not just a job; it is an opportunity to define the technological landscape of the decade.
We are looking for a self-starter with a deep understanding of AI infrastructure and a passion for pushing boundaries. If you are ready to lead the charge into the future, we want to hear from you.
Responsibilities
- Architect the Vision: Define the technical roadmap and architectural strategy for Project 2026, ensuring alignment with long-term business goals.
- Lead Engineering: Guide a cross-functional squad of AI researchers and software engineers to deliver breakthrough models on time.
- System Design: Design and implement robust, scalable, and secure neural network infrastructures for high-volume data processing.
- Innovation: Research and integrate cutting-edge technologies, including next-gen quantum algorithms and generative AI, to accelerate development.
- Code Quality: Establish and enforce best practices for coding, testing, and deployment to maintain system integrity.
- Stakeholder Communication: Translate complex technical concepts into clear insights for stakeholders and executive leadership.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related technical field.
- Experience: Minimum of 8 years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, Docker).
- Leadership: Proven ability to lead, mentor, and inspire high-performance engineering teams.
- Problem Solving: Exceptional analytical skills with a track record of solving complex, ambiguous technical problems.
- Adaptability: Comfortable working in a fast-paced, agile environment with tight deadlines.