Job Description
We are on the precipice of a new era. At Chronos Innovations, we aren't just building software for today; we are architecting the intelligent infrastructure of the year 2026. We are seeking a visionary Lead AI Architect to spearhead our mission in developing General Artificial Intelligence and next-gen neural interfaces.
In this high-impact role, you will define the technical roadmap for our flagship products, ensuring our solutions are scalable, ethical, and ahead of the curve. If you are a technical leader with a passion for the future of technology, we want to hear from you.
Why Join Us?
- Future-Proof Technology: Work on bleeding-edge AI models that will define the next decade.
- Competitive Compensation: A generous salary package reflecting your expertise.
- Flexible Environment: Hybrid work model based in the heart of San Francisco.
Ready to build the future? Apply today.
Responsibilities
- Architect Next-Gen Systems: Design and implement scalable, distributed AI systems capable of handling petabyte-scale data for 2026 requirements.
- AI Strategy Roadmap: Define the long-term technical vision for AGI (Artificial General Intelligence) development and integration.
- Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Model Optimization: Lead research initiatives to optimize neural network efficiency and reduce computational costs.
- Cross-Functional Collaboration: Partner with product and engineering teams to translate complex AI concepts into market-ready solutions.
- Ethical AI Compliance: Ensure all AI deployments adhere to strict ethical guidelines and safety protocols.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Machine Learning, or a related field.
- Experience: Minimum of 10 years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
- Leadership: Proven track record of leading high-performing engineering teams and managing large-scale projects.
- Vision: Strong ability to anticipate technological trends and translate them into actionable architectural strategies.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.