Job Description
We are Quantum Horizon Systems, a venture-backed startup redefining the boundaries of artificial intelligence. We are currently recruiting a visionary Lead AI Architect to help us design the technological foundation for the year 2026 and beyond.
In this pivotal role, you will not just implement existing models; you will architect the next generation of adaptive, self-evolving AI systems. We offer a competitive compensation package, equity options, and the opportunity to work on problems that currently seem like science fiction. If you are passionate about the future of technology and want to build solutions that matter, we want to meet you.
Responsibilities
- Architect the Future: Design and oversee the deployment of large-scale AI infrastructure capable of handling future computational loads and data complexity.
- Strategic R&D: Lead the research and development of proprietary algorithms, focusing on long-term scalability and efficiency for 2026.
- Team Leadership: Mentor a cross-functional team of data scientists and engineers, fostering a culture of innovation and technical excellence.
- Product Integration: Collaborate with product managers to integrate advanced AI capabilities into our core platform seamlessly.
- Technical Roadmap: Define the technical roadmap, ensuring alignment with business goals and emerging industry standards.
- Ethical AI Compliance: Ensure all systems adhere to strict ethical guidelines and bias mitigation protocols.
Qualifications
- Experience: 8+ years of experience in software engineering, with a focus on machine learning, deep learning, or AI architecture.
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and distributed computing systems (e.g., Kubernetes, Docker).
- Strategic Mindset: Ability to think several years ahead, identifying trends that will shape the 2026 tech landscape.
- Leadership: Proven track record of leading high-performing engineering teams and managing complex projects.
- Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.